Job Description

At Telenet, Data & AI are the driving force behind improving our organization. The Data & AI Tribe is responsible for creating data & AI products that turn data into competitive advantages. As a Data Product Owner, you will be responsible for overseeing a portfolio of dataset products that form the backbone of our company’s data ecosystem. These foundational datasets power a wide range of use cases, from customer insights and AI applications to internal applications and external data partnerships. Your role is to shape the vision, strategy, and evolution of these products, ensuring they are trusted, fit-for-purpose, and widely adopted across the organization.

About the Role

As a data product owner, you will lead a cross-functional team of Data Product Managers, Analytics Engineers, and Tech Leads and work closely with offshore teams to deliver value at scale.

You will align their efforts to deliver reusable, high-quality datasets that delight our users. Your strenght lies in your ability to connect business needs with data capabilities, manage stakeholders at all levels, and drive adoption of data products through vision, collaboration, and communication. Affinity and interest in the analytical & technical underpinnings of big data and BI are a plus.

Your tasks as Product Owner

• Product Ownership & strategy:
  • Set the strategic direction for dataset products, ensuring they evolve in line with business priorities and emerging opportunities.
  • Own a portfolio of dataset products, guiding Data Product Managers and supporting them in execution and alignment.
• Delivery & execution
  • Ensure consistent delivery across multiple teams, including offshore development teams.
  • Monitor delivery metrics, data quality, and adoption to continuously improve outcomes.
  • Promote cross-team collaboration, ensuring dataset products are broadly usable and can support multiple use cases across teams and departments.
• Team leadership & stakeholder management
  • Lead your team towards delivery excellence by promoting collaboration, excellence and individual coaching.
  • Act as a central point of contact for internal data consumers and ensure their needs are understood and addressed through fit-for-purpose data products.
  • Drive adoption and awareness of dataset products through active stakeholder engagement, internal marketing, and value communication.
  • Manage expectations & communicate progress, risks, and trade-offs clearly to both technical and non-technical stakeholders.

What we have to offer

You will be joining an inclusive company that invests heavily in you and adapts your work environment optimally to what you need. This allows you to develop while taking care of your work-life balance What else we throw into the fray?

• All the space you need to further develop your expertise. We stimulate your personal growth with internal mobility opportunities and extensive learning opportunities, but you may just as well hit the pause button after a while or go in a completely different direction.
• A varied job in which you produce tangible results and make your mark.
• A competitive gross monthly salary that we complement with a host of fringe benefits, such as
  • meal vouchers & eco-cheques
  • a hospitalization and group insurance
  • a laptop, cell phone, phone plan
  • mobility plan
• The fine company of colleagues who are just as passionate as you.
• Opportunity to work from home.
• Discounts on Telenet products.

Our ideal Product Owner has

• Proven experience in data product management, data strategy, or related roles within a data-focused environment.
• Proven experience in leading multidisciplinary teams of >10 members towards delivery excellence.
• Strong stakeholder management skills — able to translate needs and prioritize, build buy-in, and drive collaboration across teams.
• Strategic thinker with the ability to align data capabilities with broader business objectives.
• Excellent communication and storytelling skills — able to make data products and their value visible and compelling.
• Solid understanding of data ecosystems and architecture, even if not hands-on technical.
• Curious, proactive, and innovative — energized by change and motivated to shape what’s next.
• Hands-on experience with Agile delivery methodologies