-
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: San Diego, US-CA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:26
-
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: Fort Smith, US-AR
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:25
-
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: Los Angeles, US-CA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:24
-
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: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:24
-
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: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:23
-
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: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:22
-
Essential Duties and Responsibilities:
- Responsible for developing an effective Business Process team who will manage the analysis and implementation of sustainable business solutions.
- Provide recommendations for the use of technologies in the organization's various departments and projects.
- Oversee the development of business analytics to identify and drive opportunities.
- Support proposal activity for new business processes as needed.
- Oversee timely and accurate reporting of operational metrics.
- Provide leadership to multiple Business Process and Analyst teams and functions .
- Oversee the business continuity function in disaster recovery planning,
- Oversee all analyst activities, including the Quality Assurance testing function
- Ensure that business rules and processes established by the Contractor are identified, documented and approved by DHS before and after system go-live.
- Oversee CSC development and expansion activities, including, but not limited to, interviews with DHS divisions.
- Recommend improvements to business processes to ensure that the CSC enables cost savings and improved functionality to DHS through process improvement.
- Oversee and consult on change management practices with the Contractor and with DHS staff.
- Lead the development of the Interview Plan and Transfer of Operations Plan, as well as ongoing maintenance of stakeholder relationships to ensure the CSC expansion vision is executed.
Minimum Requirements
- Bachelor's degree in related field.
- 10-12 years of relevant professional experience.
- Equivalent combination of education and experience considered in lieu of degree.
- Must possess a minimum of five (5) years of leadership experience in an organization that provides adult learning, workforce development, career training, employment placement or other related employment services targeting priority populations.
- Experience in communication, strategic planning, problem solving, and financial management.
- Must possess strong organizational and business management skills.
- Experience in change management.
- Human services experience.
- Experience in Salesforce, Genesys and/or other similar platforms.
- Must be willing and able to work onsite in Little Rock, AR.
Preferred Requirements
- Medicaid experience.
- PMP certification.
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment.
Annual salary is just one component of Maximus's total compensa...
....Read more...
Type: Permanent Location: Little Rock, US-AR
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:22
-
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: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:21
-
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: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:20
-
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: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:20
-
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: 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: 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: 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
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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...
....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
