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# AI Governance Operations Lead

- **Company:** Certain Advantage
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Azure Machine Learning, Data Management, Machine Learning Operations, Devsecops
- **Published:** September 11, 2026
- **Apply:** https://www.totaljobs.com/job/governance-lead/certain-advantage-job107969924

## About the Role

* Demonstrable years in AI/ML, technology operations, governance, risk,
 * Experience implementing enterprise governance processes and operating models.
 * Experience with AI/ML platforms, MLOps, DevSecOps, or big data platforms.
 * Proven track record of operationalizing 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 optimization and continuous improvement

## Description

Certain Advantage are recruiting on behalf of our globally renowned client for an AI specialist who can offer expertise implementing enterprise governance processes and operating models, alongside expertise in AI/ML platforms, MLOps, DevSecOps, or data platforms.

We're looking for technology governance SME who can demonstrate a track record of operationalising controls and driving adoption.

Titled as an AI Governance Operations Lead you will be responsible for operationalising AI management system governance requirements (AI ownership, AI tiering, AI lifecycle, AI operating model, etc) across the business by embedding governance controls into AI lifecycle management processes, platforms, and project delivery pipelines.

The role enables scalable, automated, and auditable governance while balancing AI value realisation, adoption, and risk management., * Drive implementation of AI governance processes across the end-to-end AI lifecycle (data, development, validation, deployment, monitoring, and retirement)

 * Embed governance controls into AI/ML platforms, MLOps pipelines, and AI lifecycle management
 * Own AI governance operations including AI Registry, model/agent inventory, AI asset tiering, approvals, attestations
 * Establish governance automation to improve compliance, reduce manual effort, and avoid policy based governance that is disconnected from delivery
 * Ensure traceability, auditability, and transparency of AI assets, models, and decisions
 * Develop governance metrics, dashboards, and KPIs to measure compliance, adoption, risk, and effectiveness
 * Partner with teams to integrate governance into enterprise platforms
 * Support regulatory, audit, and assurance activities through robust evidence management and reporting
 * Drive continuous improvement of governance processes, tooling, and operating models.


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