-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Mobile, US-AL
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:19
-
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: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:18
-
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: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:18
-
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: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:17
-
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: Spokane, US-WA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:17
-
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: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:16
-
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: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:15
-
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: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:15
-
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: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:14
-
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: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:13
-
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: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:13
-
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: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:12
-
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: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:11
-
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 Antonio, US-TX
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:10
-
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: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:10
-
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: Memphis, US-TN
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:09
-
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: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:09
-
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: Lubbock, US-TX
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:08
-
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: Charleston, US-SC
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:07
-
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: Houston, US-TX
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:07
-
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: Sioux Falls, US-SD
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:06
-
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: Rapid City, US-SD
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:05
-
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: Columbia, US-SC
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:05
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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: Nashville, US-TN
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:04
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Manage the overall day-to-day operations of the store's e-Commerce department to achieve desired sales objectives, goals and budgets.
Responsible for staffing the department and developing associates to achieve desire results.
Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety.Minimum
* Effective communication skills
* Strong organizational skills
* Strong leadership skills
* Basic knowledge of computers
Desired
* High school diploma or equivalent
* Experience with and knowledge of Point of Sale (POS)
* Retail Experience
* Ensure that the store e-Commerce department meets/exceeds customer expectations for ease of shopping, variety, freshness and cleanliness
* Meet the demands of product flow and create schedules according to guidelines
* Develop associates to meet the productivity standards and certify associates once they meet or exceed goals
* Confirm that associates are following local, state, and federal laws in addition to all food safety procedures and company guidelines
* Train associates on all functions and duties of the order selector and customer attendant roles
* Lead team in the planning, implementation and execution of e-Commerce's initiatives
* Achieve/exceed weekly, period, annual sales, wage budgets, and other targeted goals including customer satisfaction leading to repeat sales
* Assist in the analysis and response to the competitive landscape
* Ensure orders are filled with products requested or comparable substitute in a timely and effective manner
* Execute Best Practices to determine appropriate substitutions in the event of an out of stock
* Follow processes for streamlining collection of orders, products, checkouts and delivery
* Report inventory issues such as out of stock items to department heads in a timely manner
* Troubleshoot equipment and devices for e-Commence department
* Provide feedback to store management team, district manager, field specialist, coordinators and division e-Commerce manager on the effectiveness of operational plans/programs
* Monitor and control expenses for the department
* Ensure preventative maintenance is being performed on all equipment in the department
* Supervise and coach direct reports in the performance of their duties; complete performance reviews and provide feedback to direct reports.
* Must be able to perform the essential functions of this position with or without reasonable accommodation.
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Type: Permanent Location: Greenfield, US-WI
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:03
