We're looking for a Data Governance (Senior Consultant) who can help our clients turn governance into a genuine business enabler across data, analytics, and AI. The role requires a senior, seasoned consultant who can design, implement, and sustain governance programs that improve trust in data, strengthen compliance, and enable responsible AI adoption.
Requirements
- Design and implement enterprise data governance frameworks, policies, standards, and operating models aligned to client goals and industry best practice.
- Define the Enterprise Data Governance model and operating rhythm to underpin AI, analytics, and broader data transformation initiatives.
- Establish minimum standards for AI-enabling data, including data quality, lineage, metadata, access, and accountability.
- Map AI governance requirements to existing data governance artefacts, controls, and business processes.
- Contribute to the AI Governance Framework and Operating Model, ensuring alignment between responsible AI practices and enterprise data foundations.
- Define and document data ownership, stewardship, and accountability models across business and technology functions.
- Provide strong day-to-day coordination across client stakeholders, ensuring governance decisions, actions, and dependencies are managed effectively across business and technical teams.
- Support the establishment of data quality management processes, metrics, controls, and monitoring mechanisms.
- Facilitate workshops, stakeholder forums, and training sessions to drive adoption, engagement, and cultural change around data ownership, literacy, and responsible AI.
- Collaborate with client leadership to improve decision-making, regulatory compliance, business performance, and confidence in AI and analytics outcomes.
- 6+ years’ experience in data governance, data management, information management, or consulting roles.
- Experience developing and implementing data governance policies and procedures within complex organisational environments.
- Strong understanding of data governance principles, frameworks, and best practices, including familiarity with DAMA-DMBOK and related governance disciplines.
- Proven experience designing or implementing governance frameworks, policies, standards, stewardship models, and operating models.
- Experience supporting AI and digital transformation initiatives through strong data governance foundations.
- Strong understanding of the foundational data capabilities required to enable AI, including data quality, metadata, lineage, access controls, and governance by design.
- Experience mapping governance requirements across business, risk, compliance, and technology stakeholders.
- Familiarity with metadata management, data cataloguing, and lineage tools such as Collibra, Informatica, Alation, or similar platforms.
- Exposure to data quality management processes, controls, and tooling.
- Strong consulting and stakeholder engagement skills, with the ability to advise senior leaders while also working closely with delivery teams.
- Excellent communication and facilitation skills - able to translate governance concepts into practical business value for both executive and operational audiences.
- Comfortable working in multi-disciplinary teams spanning strategy, engineering, analytics, and AI.
Benefits
- Paid certifications across all major cloud and data technologies
- Weekly training and knowledge exchanges
- Dedicated support lead
- Regular 360° feedback loops
- Innovation days
- Team days, social catchups, many new community clubs
