IT DATA ENGINEERING JG3

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-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

Opdrachtgever

Shell

Over deze opdrachtgever

Startdatum6 oktober 2026

Einddatum31 december 2026

Reageren kan t/m24 september 2026

Doorleenconstructie toegestaanNee

ThuiswerkenHybride

Aantal posities1

ContractlabelSource

ReferentiecodeSNSHL000432

Referentiecode opdrachtgever1SHLJP00012950

Opdrachtgever

Shell

Over deze opdrachtgever

Opdrachtgever

Shell

Shell

Startdatum6 oktober 2026

Einddatum31 december 2026

Reageren kan t/m24 september 2026

Doorleenconstructie toegestaanNee

Doorleenconstructie toegestaanNee

ThuiswerkenHybride

ThuiswerkenHybride

Aantal posities1

Aantal posities1

ContractlabelSource

ReferentiecodeSNSHL000432

Referentiecode opdrachtgever1SHLJP00012950