Governance Operations Lead

Het CV en de motivatie dienen aangeboden te worden in het Engels.

Het CV dient in een Word format aangeleverd te worden.

Description:

Governance Operations Lead

Purpose

The Governance Operations Lead is responsible for operationalizing AIMS governance requirements (AI ownership, AI tiering, AI lifecycle, AI operating model, etc) across Shell 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 realization, adoption, and risk management.

Key Accountabilities

- 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, at testations

- 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 Data & AI, IDSO, Enterprise Architecture, IT Engineering, and CISO 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.

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 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 Behaviors

- Systems thinker with a strong operational mindset

- Balances governance rigor with business agility

- Drives simplification and automation

- Influences across organizational boundaries

- Focuses on outcomes, scalability, and adoption

Eisen en wensen

EISEN

EIS1: 8-12+ years in AI/ML, technology operations, governance, risk, or digital transformation.

EIS2: Experience implementing enterprise governance processes and operating models.

EIS3: Experience with AI/ML platforms, MLOps, DevSecOps, or data platforms.

EIS4: Proven track record of operationalizing controls and driving enterprise adoption.

EIS5: AI lifecycle management and MLOps

EIS6: Governance process design and automation

EIS7: AI risk, controls, and compliance

EIS8: Data and model management platforms

EIS9: Metrics, reporting, and operational excellence

EIS10: Process optimization and continuous improvement

WENSEN

COMPETENTIES

COMP1: Systems thinker with a strong operational mindset

COMP2: Balances governance rigor with business agility

COMP3: Drives simplification and automation

COMP4: Influences across organizational boundaries

COMP5: Focuses on outcomes, scalability, and adoption

CV-VORMVEREISTEN

Het CV en de motivatie dienen aangeboden te worden in het Engels. Het CV dient in een Word format aangeleverd te worden.

Geplaatst op: 17-09-2026