Sr. Principal AI/ML Data Management & Governance Lead

• Design Unified Governance Architecture across four critical domains:
  • Core Data Integrity & Lineage:
• Create federated governance models enabling teams to own data products while adhering to global standards.
• • • Architect automated metadata harvesting systems for a central data catalog with rich context tagging.
    • Implement sovereignty and traceability frameworks to meet strict location-based regulations and enable end-to-end data lineage.
  • Semantic Governance & Ontologies:
    • Define and enforce enterprise ontologies and semantic standards as the “source of truth” for AI systems.
    • Establish governance models for seamless AI agent interoperability.
  • AI Explainability & Forensic Safety:
    • Build Explainable AI (XAI) frameworks linking decisions to training data versions and metadata.
    • Design forensic guardrails to reconstruct decision states and prevent PII leakage or hallucinations.
  • Agentic AI Controls:
    • Architect identity frameworks for non-human agents with strict “least privilege” principles.
    • Define sandboxing standards for agent interactions with external tools to prevent unintended state changes.

You Bring:

• Bachelors Degree in Computer Science, Electrical Engineering or related STEM field with at least 6-8 years of experience, Masters Degree is preferred
• Strategic Leadership: Ability to define governance roadmaps with C-suite stakeholders and deliver foundational code.
• High-Stakes Experience: Proven track record in industries where data failure impacts safety or regulatory compliance (e.g., Pharma, Healthcare, Defense).
• Technical Expertise:
  • Knowledge graph architectures and semantic layers for AI data standardization.
  • Policy engines (e.g., OPA) and “Policy as Code” frameworks within IaC workflows.
  • Enterprise-scale data catalogs and automated lineage systems (e.g., OpenLineage).
  • Familiarity with modern AI stacks: vector search, LLM orchestration, and RAG architectures.
  • Multi-cloud security fluency with focus on data residency, encryption, and zero-trust architectures.