-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Tampa, US-FL
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:21
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Savannah, US-GA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:20
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Atlanta, US-GA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:20
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Tallahassee, US-FL
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:19
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Miami, US-FL
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:18
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Columbus, US-GA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:18
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Dover, US-DE
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:17
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Jacksonville, US-FL
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:17
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Wilmington, US-DE
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:16
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Bridgeport, US-CT
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:15
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Colorado Springs, US-CO
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:15
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Hartford, US-CT
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:14
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: San Diego, US-CA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:13
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Los Angeles, US-CA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:13
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Denver, US-CO
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:12
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Fort Smith, US-AR
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:11
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: San Francisco, US-CA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:11
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Sacramento, US-CA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:10
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:09
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:09
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:08
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Mobile, US-AL
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:07
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
....Read more...
Type: Permanent Location: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:07
-
Essential Duties and Responsibilities:
- Drive enterprise-wide transformation of the data ecosystem by rationalizing silos, legacy pipelines, and non-compliant assets to improve efficiency, auditability, regulatory alignment, and AI readiness.
- Lead the phased deployment of INSIGHTS principles and the Global Ontology/Data Model, including schema validation (Pydantic/JSON), AI model and identity extensions, and the enforcement of security and data-residency axioms.
- Deliver Q2-Q4 2026 foundational milestones, including CDL as the first GLDE pilot node, the rollout of Microsoft Purview and Fabric, the establishment of enterprise data-quality baselines (>95%), and the rationalization of redundant data processes.
- Lead the Talent Migration pillar by scaling enterprise data literacy to 30-45% by the end of FY2026 and advancing toward 100% advanced certification by 2030 through structured training, LMS programs, incentives, and champion networks.
- Design and execute comprehensive change-management strategies-including communications, training, resistance mitigation, and success storytelling-to embed ontology adoption, self-service analytics, and a data-driven culture across all segments.
- Build and facilitate global Communities of Practice focused on ontology, AI ethics, and priority use cases; and track participation, engagement, contributions, and knowledge-sharing effectiveness.
- Establish and report enterprise KPIs, including ontology conformance, data-quality scores, literacy rates, CoP participation, AI-pilot adoption, KBQ automation progress (targeting 90% by Year 3), and overall transformation ROI.
- Ensure strict alignment with regulatory and security requirements (HIPAA 2025, FedRAMP, CMMC, GDPR/PIPEDA, CUI) through ontology axioms, TDF-policy enforcement, DataGuard prototypes, and certification-like governance processes.
- Collaborate with segment GMs, pillar leads, and executive leadership to integrate data practices into Growth, Operational Excellence, and AI/Technology Enablement strategies; and prepare executive briefs, dashboards, and investment reviews.
- Lead matrixed enablement teams and influence cross-functional stakeholders to deliver milestones, mitigate adoption and compliance risks, accelerate quick wins, and support responsible AI adoption in partnership with AI Ethics leadership.
Job-Specific Essential Duties and Responsibilities:
Lead Enterprise Data Transformation & Modernization
- Execute aggressive, outcome-oriented transformation of Maximus's data ecosystem by rationalizing silos, legacy flows, and non-compliant assets to enable efficiency, auditability, and AI-readiness.
- Own phased deployment of INSIGHTS principles and Global Ontology/Data Model (Pydantic/JSON Schema validation, AIModel/Identity extensions, axioms like phi_flag - MFA/encryption and data_storage_region enforcement).
- Drive Q2-Q4 2026 Foundation execution: CDL as first GLDE pilot node, Purview/Fabric rollout, initial quality baselines (>9...
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Type: Permanent Location: Little Rock, US-AR
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:06
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Essential Duties and Responsibilities:
- Answer incoming calls from consumers including the general public, prospective enrollees and people assisting enrollees or acting on their behalf in accordance with all performance standards, policy and procedures, and protocols including but not limited to the confidentiality and privacy policies.
- Track and document all inquiries using the applicable systems.
- Complete associated tasks according to the established guidelines.
- Track and document all inquiries using the applicable systems.
- Meet Quality Assurance (QA) and other key performance metrics.
- Facilitate the fulfillment of caller requests for materials via mail, email, or download.
- Transfer/refer consumers to appropriate entities according to the established guidelines.
- Escalate calls or issues to the appropriate designated staff for resolution as needed.
- Facilitate translation services for non-English speaking callers according to procedures.
- Attend meetings and trainings as requested and maintain up-to-date knowledge of all programs and systems.
Minimum Requirements
- High school diploma or GED required and 0-6 months of relevant professional experience required, or equivalent combination of education and experience.
- Must be fluent in English and specified secondary language.
Job Requirements:
- High School Diploma or GED with 0-1 years' experience
- Able to demonstrate logical problem-solving skills, capacity to multi-task, and proficiency to utilize the client approach to troubleshoot
-Proficient in managing repetitive and high-volume calls
- Proficient typing skills
- Consistently showcases a strong sense of urgency and performs well under pressure
- Strong organizational and work prioritization abilities
- Skilled in the use of Teams
- Fundamental computer proficiency in Windows and/or Mac
- Available to work any 8-hour shift Monday to Friday from 8:00 a.m.
to 6:30 p.m.
(Central Time)
- Bilingual candidates must pass a bilingual assessment
Training Requirements:
- Must be able to work onsite first week of training
- Must be able to complete classroom and on-the-job training with no time missed
Required Guidelines for Remote Work Environment:
- Workspace must be quiet, free of distractions, and no background noise
- Workspace must be able to hold 2 monitors, laptop, keyboard, mouse, and docking station: Maximus will provide equipment
- Web camera is required for all Maximus staff during training, meetings, or as requested by management with expectation of participation, adequate lighting and visibility
- Internet must be a traditional, wired high-speed connection such as cable or fiber
- Must be able disable modem firewalls to ensure proper VPN and product access
- High-speed internet service is required, with minimum of 20 Mbps download & 5 Mbps upload
- Required to connect the ethernet cable directly from the modem or router to computer
- Wi-Fi connections through cellular networks, mobile hotsp...
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Type: Permanent Location: Athens, US-TX
Salary / Rate: Not Specified
Posted: 2026-04-01 08:24:06
