Senior Director, Data Management & Technology

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...