IT DATA ENGINEERING JG3

Responsible AI Lead voor Shell, 40 uur per week in Den Haag, ZZP toegestaan.

Bekijk en reageer bij YellowFriday — account vereist (externe link)

Eisen

  • Demonstrates sound judgment and integrity
  • Fairness, explainability, transparency, and AI safety
  • Experience engaging senior stakeholders and influencing enterprise decisions.
  • Regulatory frameworks (EU AI Act, NIST AI RMF, ISO 42001)
  • Responsible AI and AI ethics
  • Policy interpretation and control design
  • AI/ML lifecycle and model development practices
  • AI risk management and governance
  • Challenges constructively while enabling innovation
  • Balances business value with ethical considerations
  • 8-12+ years in AI/ML, data science, AI governance, model risk, or technology risk.
  • Experience evaluating AI risks, fairness, transparency, and explainability.
  • Promote transparency, accountability, and trust
  • Influences through expertise and credibility

Wensen

  • Experience in regulated or complex enterprise environments preferred.
Volledige omschrijving

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

Het CV dient in een Word format aangeleverd te worden.

-Responsible AI Lead

Purpose

The Responsible AI SME is accountable for implementing and advising AI principles (defined in AIMS) across

Shell's AI portfolio. The role ensures AI systems are designed, developed, and deployed in alignment with

Shell values, regulatory requirements, and Responsible AI principles, while enabling safe adoption and

business value realization.

Key Accountabilities

Responsible AI Framework & Standards

- Maintain Responsible AI principles (along with AI quality & monitoring, discoverability, documentation, AI lineage) in AIMS, related practices and guidance.

- Work with legal to establish requirements for fairness, transparency, explainability, accountability, and human oversight.

- Develop practical controls and Responsible AI assessment criteria for AI use cases.

AI Risk Assessments

- Lead Responsible AI reviews for high-risk and business-critical AI solutions - aka AI Steward

- Conduct assessments for bias, fairness, explainability, safety, and unintended consequences.

- Provide recommendations and mitigation actions to enable safe deployment.

Governance Integration

- Embed Responsible AI controls AI lifecycle management processes and governance workflows.

- Partner with Governance Operations to operationalize Responsible AI requirements within platforms and tooling.

- Support model approval and risk review processes with AI ERC

Regulatory & Industry Alignment

- Monitor emerging AI standards, and industry best practices.

- Advise teams on compliance implications and adoption of regulatory requirements.

- Support audit and assurance activities related to Responsible AI.

Education & Adoption

- Act as the enterprise Responsible AI thought leader and trusted advisor.

- Develop playbooks, guidance, training, and awareness programs.

- Promote a culture where Responsible AI enables innovation rather than becoming a barrier to adoption.

Experience

- 8-12+ years in AI/ML, data science, AI governance, model risk, or technology risk.

- Experience evaluating AI risks, fairness, transparency, and explainability.

- Experience engaging senior stakeholders and influencing enterprise decisions.

- Experience in regulated or complex enterprise environments preferred.

Expertise

- Responsible AI and AI ethics

- Fairness, explainability, transparency, and AI safety

- AI risk management and governance

- AI/ML lifecycle and model development practices

- Regulatory frameworks (EU AI Act, NIST AI RMF, ISO 42001)

- Policy interpretation and control design

Behaviors

- Demonstrates sound judgment and integrity

- Challenges constructively while enabling innovation

- Balances business value with ethical considerations

- Influences through expertise and credibility

- Promote transparency, accountability, and trust

Eisen en wensen

EISEN

EIS1: 8-12+ years in AI/ML, data science, AI governance, model risk, or technology risk.

EIS2: Experience evaluating AI risks, fairness, transparency, and explainability.

EIS3: Experience engaging senior stakeholders and influencing enterprise decisions.

EIS4: Responsible AI and AI ethics

EIS5: Fairness, explainability, transparency, and AI safety

EIS6: AI risk management and governance

EIS7: AI/ML lifecycle and model development practices

EIS8: Regulatory frameworks (EU AI Act, NIST AI RMF, ISO 42001)

EIS9: Policy interpretation and control design

WENSEN

WENS1: Experience in regulated or complex enterprise environments preferred.

COMPETENTIES

COMP1: Demonstrates sound judgment and integrity

COMP2: Challenges constructively while enabling innovation

COMP3: Balances business value with ethical considerations

COMP4: Influences through expertise and credibility

COMP5: Promote transparency, accountability, and trust

CV-VORMVEREISTEN

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

Geplaatst op: 21-09-2026

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