Governance Operations Lead

Role: Governance Operations Lead

Location: London, office based

Start Date: ASAP

Duration: 4 Months initially

Traditional Daily Rate: Up to £700 per day inside IR35 (dependent on experience)

Payroll provider: Rockford Payroll Info for Contingent Workers – Rockford Pay

Job Description

The Governance Operations Lead is responsible for operationalising AIMS governance requirements across the company by embedding controls into AI lifecycle processes, platforms and project-delivery pipelines.

Key Accountabilities

• Implement governance processes across the end-to-end AI lifecycle, including data, development, validation, deployment, monitoring and retirement.
• Embed governance controls into AI/ML platforms, MLOps pipelines and AI lifecycle management.
• Own the AI Registry, model and agent inventories, AI asset tiering, approvals and attestations.
• Automate governance to improve compliance and reduce manual effort.
• Ensure the traceability, auditability and transparency of AI assets, models and decisions.
• Develop metrics, dashboards and KPIs covering compliance, adoption, risk and effectiveness.
• Partner with Data & AI, IDSO, Enterprise Architecture, IT Engineering and CISO teams.
• Support regulatory, audit and assurance activities through robust evidence management and reporting.
• Continuously improve governance processes, tooling and operating models.

Experience

• 8–12+ years in AI/ML, technology operations, governance, risk or digital transformation.
• Experience implementing enterprise governance processes and operating models.
• Experience with AI/ML platforms, MLOps, DevSecOps or data platforms.
• Proven experience operationalising controls and driving enterprise adoption.

Expertise

• AI lifecycle management and MLOps.
• Governance process design and automation.
• AI risk, controls and compliance.
• Data and model-management platforms.
• Metrics, reporting and operational excellence.
• Process optimisation and continuous improvement.

Behaviours

• Systems thinker with a strong operational mindset.
• Balances governance rigour with business agility.
• Drives simplification and automation.
• Influences across organisational boundaries.
• Focuses on outcomes, scalability and adoption.