Data & AI Governance Manager - AI Governance
Listed on 2026-09-13
-
IT/Tech
AI Business & Operations, Information Security & Data Protection, IT Business Analyst, IT Consultant
About Kubrick
Kubrick is an award-winning AI consultancy helping organizations turn AI ambition into measurable, real-world impact. We design, build and scale solutions that solve complex business challenges and deliver lasting value.
We work with leading organizations across industries including financial services, healthcare, retail, energy, aviation, and the public sector, and partner with some of the world’s leading technology providers, including Microsoft, Snowflake, Databricks, and Collibra.
What sets us apart is how we build capabilities and careers alongside the solutions we deliver. Through continuous learning, hands-on experience, and a collaborative culture, our people develop deep expertise while solving complex, real-world challenges for our clients.
The OpportunityWe are seeking an experienced and forward-thinking AI Governance Manager to join our growing Data & AI Governance capability. This role blends client-facing delivery with thought leadership and internal development responsibilities, helping shape and scale Kubrick’s AI Governance proposition.
You’ll bring deep expertise across AI Governance, from AI responsibility and ethics to model risk management, bias and fairness testing, regulatory compliance and best-practice enculturation of processes and ceremonies. You will lead delivery squads, define strategic roadmaps, and guide the selection, configuration and rollout of relevant governance tooling.
You’ll oversee delivery of a variety of engagements, whether focused on standing up regulatory compliance procedures and processes, assessing maturity and building improvements, designing & performing controls and issue triage processes, or designing AI governance operating models.
The role also requires a strong understanding of how governance adds business value, enabling innovation and guiding innovators through the perceived red tape to boost AI enablement rather than throttle it down.
Key ResponsibilitiesLead delivery of AI governance, Responsible & Ethical AI and maturity work streams for clients.
Define and implement enterprise frameworks covering AI and Automation, AI Governance, ownership, policy and standards, issue management, and governance processes.
Support configuration, implementation, and enablement of tooling.
Design relevant strategies, processes, and catalogue and documentation structures
Support mapping of end-to-end data flows and identifying parent and child processes.
Develop and implement AI Governance frameworks and relevant playbooks, advising on AI strategies, controls and responsible and ethical AI.
Lead internal squads and coach junior team members, providing delivery oversight and subject matter expertise.
Engage with stakeholders to translate business needs into AI governance initiatives.
Contribute to internal growth of the capability - developing playbooks, methods, reusable templates, and IP.
Participate in pre-sales efforts and develop client proposals that highlight the value of AI Governance.
Work with Kubrick & client staff of other disciplines to understand and assess requirements, design solutions and inform delivery planning.
Seek, build, and maintain effective client relationships contributing to Kubrick’s commercial priorities and supporting our partnering approach to working with clients.
Experience in AI Governance directly, or good exposure to AI Governance concepts and equivalent experience in related governance fields such as Data Governance.
Previous consulting experience totalling >5 years of experience.
Proven experience designing operating models, frameworks, and defining relevant roles.
Recognised qualifications such as the IAPP AIGP, ISO 42001 certification or similar are preferred
Strong understanding of core AI…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).