Senior Director - Data Transformation and Adoption

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...