Data & AI Governance Manager

pSelect how often (in days) to receive an alert: /p pAs a Data AI Governance Manager within the Lighthouse team, you contribute to multidisciplinary Data AI transformation programs where governance plays a central role in enabling trust, scalability and value creation across the organisation. /p pYou support organisations in designing and implementing end-to-end Data AI governance capabilities, ensuring that data and AI systems are reliable, explainable, compliant and aligned with business objectives. /p pThis role sits at the intersection of regulation, Data AI and business value. Your focus is on building robust and future-proof governance frameworks that support both compliance and scalable innovation. You will help organisations design, operationalise and scale Data AI operating models, translate regulatory requirements into actionable governance capabilities, and embed governance into everyday decision‑making. /p pThis role is suited for an experienced consultant with strong expertise in Data AI governance and the ability to engage senior stakeholders while driving tangible delivery outcomes. /p h3What will you do? /h3 h31. Design Data AI governance strategies /h3 ul liAdvise clients on governance frameworks, operating models and capabilities. /li liDefine structures, roles, policies and processes across the data and AI lifecycle. /li liTranslate regulatory and business requirements into pragmatic governance designs. /li liAssess data maturity and define actionable roadmaps. /li /ul h32. Enable scalable and automated governance /h3 ul liSupport the transition from manual to scalable and automated governance models. /li liEmbed governance-by-design in data pipelines, AI lifecycles and business processes. /li liDesign monitoring, reporting and auditing capabilities. /li liPromote data-as-an-asset and data product thinking. /li /ul h33. Drive governance implementation and architecture oversight /h3 ul liLead tooling selection and implementation, for example Collibra, Microsoft Purview and Informatica. /li liEnsure alignment with data quality, lineage, ownership and security requirements. /li liDefine and implement standards such as metadata, Critical Data Elements (CDEs) and data quality frameworks. /li liBridge Data AI, IT, Risk and Business stakeholders. /li liAlign Data AI governance with broader enterprise governance. /li liAct as a trusted advisor to senior stakeholders, such as CDOs, CIOs, CROs and AI leads. /li liTranslate complex topics into clear risks, scenarios and recommendations. /li liSupport organisations in navigating regulatory challenges and AI adoption. /li /ul h35. Contribute to growth and innovation /h3 ul liSupport proposals and define governance value cases. /li liPosition governance as a key enabler of Data AI transformation. /li liContribute to Lighthouse’s governance offering across industries. /li liDevelop reusable assets such as playbooks, accelerators and standards. /li liDrive innovation in areas such as AI governance and data product governance. /li /ul h36. Strengthen collaboration and capabilities /h3 ul liCoach teams on governance practices, tools and delivery approaches. /li liFacilitate collaboration between Data, AI, Risk, IT and Business teams. /li liContribute to building a strong governance community within Lighthouse. /li /ul h3What you bring /h3 ul li4–6 years of experience in Data AI governance. Consulting experience is a plus. /li liExperience in regulatory‑driven environments, involving regulations and standards such as BCBS 239, Solvency II, GDPR, the EU AI Act and CSRD. /li liKnowledge of governance frameworks such as DAMA‑DMBOK and DCAM is a plus. /li liHands‑on experience with governance tooling such as Collibra, Microsoft Purview, Informatica, DataHub or similar platforms. /li liExperience with data quality and metadata tooling, such as Collibra Data Quality, Soda or Great Expectations. /li liExperience with automation and integration using Python, SQL and APIs. /li liExperience operationalising governance, including lineage, metadata ingestion, quality monitoring and workflows. /li liExposure to regulated industries, such as Financial Services, is an asset. /li liExperience contributing to proposals or commercial discussions. /li liStrong stakeholder management and communication skills. /li liFluency in English and either Dutch or French. /li liAn attractive remuneration package with a great number of bextra-legal benefits /b (premium electric company car + charging card, bnet daily and monthly allowances /b, bonus, an biPhone /b with subscription, and many other benefits tailored through our cafeteria plan). /li liFlexible work arrangements to ensure ba healthy work-life balance /b and the possibility to work from anywhere 20 days per year. /li liA comprehensive insurance package including bgroup insurance with full KPMG contributions /b, hospitalization insurance and optional outpatient options (dental eye care, medical consultations a