Data & AI governance expert

At Telenet, we believe data, analytics & (Gen)AI are key drivers of our digital transformation. Data is used to better understand our customers, support smarter decision-making, and enable innovative AI-driven solutions.

Within Telenet, the Data Acceleration Tribe plays a central role in unlocking the value of data & (Gen)AI across the organization, from strategy to execution.

As a Data & AI Governance Expert, you will join the Data & AI Governance Team, where you help shape robust, scalable and future-proof governance practices that ensure our data & (Gen)AI products are value-driven, secure and compliant.

Your tasks as a Data & AI governance expert

As a Data & AI Governance Expert, you play a key role in defining, operationalizing and embedding data & AI governance across Telenet:

• Designing and operationalizing a data & AI governance framework aligned with our agile, product-oriented way of working
• Defining policies, guidelines and processes for both structured & unstructured data classification, ownership, data quality, lineage, cataloguing and lifecycle management
• Embedding governance into tools and workflows, enabling policy-as-code where possible (e.g. policy scoring, AI risk assessment, product catalog, metadata management, unstructured data tagging, …)
• Driving our enterprise data governance platform, including:
• implementing and optimising workflows (e.g. data product onboarding, ownership, policy scoring, risk screening)
• defining and maintaining metadata models, operating models and governance roles
• increasing adoption and usability through stakeholder engagement, training and continuous improvement
• Governing AI, GenAI & GenBI use cases, including semantic layer management, risk assessments, responsible AI controls and model governance
• Collaborating closely with product owners, product managers, data analysts, architects, security and legal teams to ensure governance is practical and embedded in daily operations
• Defining, monitoring and reporting on governance KPIs, compliance indicators and risk metrics
• Driving adoption and change, through coaching, training and continuous improvement of governance practices

• A senior professional with at least 5 years of experience in data governance, information management or related domains
• Master’s degree in a quantitative field (Business Engineering, Applied Economics, Computer Sciences, Information Management) or equivalent by experience
• Proven experience with enterprise data & AI governance platforms, including workflow configuration, training and driving enterprise-wide adoption
• Strong expertise in translating policies into operational processes in complex, multi-stakeholder environments
• Solid knowledge of data & AI legislation (EU AI act, GDPR, …) and governance best-practices (metadata, quality, ownership, …)
• Experience with AI/ML governance, model risk management or responsible AI is a strong plus
• Comfortable working with both technical and business stakeholders
• Pragmatic, impact-driven and able to make governance work in practice, not just on paper
• Fluent in English and Dutch or French

At Telenet group, you get more than just an attractive gross salary. We strongly believe in results and ownership: we give trust but also expect commitment and impact. What you achieve truly matters.

In addition to a thirteenth-month salary and holiday pay, you can count on an extensive package of extra benefits that supports you in your daily life as well as at work.

An overview of our benefits:

• Mobility budget: compose your own mobility plan, you can opt for a company car or alternative mobility solutions
• Meal vouchers and eco vouchers
• Mobile phone, mobile subscription, laptop, and employee discounts
• Collective bonus and individual bonus (aligned with your performance)
• Hospitalization insurance (including an ambulatory plan) and group insurance
• 20 days of paid leave and 12 compensatory days off

We value your ongoing development, investing in growth via our internal learning platform, coaching, and on-the-job training. You will have opportunities to keep learning and further strengthen yourself in your role.

We also prefer working closely together. We believe strong teams form by frequent interactions and quick transitions. To facilitate a smooth onboarding and rapid integration for new employees, we expect you to be present in the office at least three days a week during the first six months. On other days, you can work remotely from home.