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Governance Architect - AI & Data; Data Architect II

Job in Nottingham, Nottinghamshire, NG1, England, UK
Listing for: UST
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Security, Data Analyst, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 GBP Yearly GBP 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Governance Architect - AI & Data (Data Architect II)

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 / Nottingham

Employment Type:

Full‑time
Company: 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 ope rationalise 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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