Data & AI Governance Consultant

We are seeking a highly skilled Data & AI Governance Consultant to support the review, enhancement, and implementation of our Data & AI governance framework. This role will focus on updating existing governance documentation, identifying and addressing gaps against leading industry standards, deg an improved operating model for data management, and providing hands-on support in implementing our Responsible AI program. The ideal candidate brings deep expertise in AI governance, regulatory frameworks, data management practices, and stakeholder facilitation, combined with strong writing, analytical, and advisory skills.

Key Responsibilities

1. Review & Update AI Governance Documents • Conduct a structured review of existing AI governance documents, assessing current state, quality, and alignment to overarching governance principles. • Lead working sessions with internal stakeholders to gather input, capture gaps, and aligned required changes. • Draft revised versions of governance documents, ensuring clarity, consistency, and implementation readiness. • Manage review cycles, incorporate feedback, and prepare final sign-off versions. Outcome: Updated and implementation-ready versions of all AI governance documents.

2. Identify Gaps & Develop Missing AI Governance Documentation • Benchmark existing documentation against key standards and frameworks (e.g., EU AI Act, ISO 42001, NIST AI RMF). • Conduct a structured gap analysis to identify missing governance components, areas of exposure, and priorities for remediation. • Develop new governance documents where needed, ensuring alignment with best practices and organisational requirements. • Present findings and recommendations to stakeholders through clear and actionable reporting. Outcome: Comprehensive gap analysis and creation of missing governance artifacts. Classified as Internal

3. Enhance the Data & AI Governance Operating Model • Co-design an improved data management operating model addressing roles, responsibilities, decision rights, processes, and governance structures. • Document the proposed target model and iterate it collaboratively with internal teams. • Support validation and approval of the operating model by senior stakeholders. Outcome: A refined data & AI governance operating model ready for adoption.

4. Support Implementation of the Responsible AI Program • Assess the current maturity, scope, and needs of the Responsible AI program. • Participate in and drive structured implementation sprints focused on operationalising governance processes (e.g., AI risk assessments, AI reviews, lifecycle controls, tooling input). • Conduct enablement workshops to build internal capability and embed Responsible AI practices across teams. • Provide ongoing advisory support to stakeholders and leadership on Responsible AI governance and strategic decision-making. Outcome: Practical, hands-on support enabling effective rollout of Responsible AI across the organisation. Required Skills & Qualifications • Strong experience in Data Governance, AI Governance, Responsible AI, or related regulatory/compliance roles. • Knowledge of ML lifecycles, data pipelines, and model evaluation, explainability, bias detection, model monitoring concepts, AI security, robustness, and data quality controls • Deep knowledge and proven experience of working with AI governance frameworks (EU AI Act, ISO 42001, NIST AI RMF or equivalents). • Demonstrated ability to draft and refine policy, guidelines, and governance documents. • Experience facilitating workshops, interviews, and cross-functional working sessions. • Ability to design operating models, governance structures, and organisational processes. • Excellent communication, analytical, and stakeholder-management skills. • Ability to work independently and deliver high-quality outputs within agreed timelines. • Experience in driving federated data governance in data mesh and domain-driven environments • Ability to work in a multi-cultural global environment