Governance Architect – AI & Data
We are seeking a Governance Architect – AI & Data to lead the design and implementation of enterprise‑grade governance frameworks across data and AI platforms. This role is critical in ensuring compliance, trust, and auditability, particularly for highly regulated environments.
Location: London / NottinghamEmployment Type: Full‑timeCompany: UST
Key Responsibilities
Data Governance
- Define and implement enterprise data governance frameworks
- Establish data lineage, cataloguing, and ownership models
- Design and manage data contracts and service‑level objectives (SLOs)
- Build and enforce data quality frameworks across platforms
AI Governance
- Develop and operationalise AI governance frameworks
- Implement controls for:
- Model explainability and traceability
- Bias detection and mitigation
- Hallucination risk management at a policy level
- Ensure governance across the AI lifecycle and outputs
Compliance & Controls
- Ensure adherence to regulatory standards (e.g., GDPR, financial data controls)
- Design audit‑ready data pipelines and AI outputs
- Define and enforce enterprise controls including:
- Role‑Based / Attribute‑Based Access Control (RBAC/ABAC)
- Data masking and PII protection
Standards & Validation
- Establish validation frameworks across both data pipelines and AI systems
- Define governance standards for data integrity and model outputs
Required Skills & Experience
Mandatory
- Strong experience in data governance frameworks
- Expertise in:
- Data lineage & catalog tools
- Data quality (DQ) frameworks
- Solid understanding of AI governance principles
- Experience designing governance for regulated industries
Nice to Have
- Hands‑on experience with data or AI engineering implementation
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