IT DATA ENGINEERING JG3
Governance Operations Lead voor Shell, hybride Den Haag, 40 u/week.
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Eisen
- 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
Wensen
- Governance process design and automation
- Systems thinker with a strong operational mindset
- AI lifecycle management and MLOps
- Focuses on outcomes, scalability, and adoption
- Balances governance rigor with business agility
- AI risk, controls, and compliance
- Process optimization and continuous improvement
- Data and model management platforms
- Metrics, reporting, and operational excellence
- Drives simplification and automation
- Influences across organizational boundaries
Volledige omschrijving
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, 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 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. Het CV en de motivatie dienen aangeboden te worden in het Engels. Het CV dient in een Word format aangeleverd te worden.
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