3 jun 2026
Head of Data Product Management
| Branche | Zie onder |
| Dienstverband | Zie onder |
| Uren | Zie onder |
| Locatie | Utrecht |
| Opleidingsniveau | HBO / bachelor |
| Contactpersoon |
Shir Abramovich |
Informatie
You will report to the director of data, analytics and AI, and will manage multiple data product managers (with expected growth in span of management).
- Strategic Ownership of Data Products: Take full ownership of the enterprise data product strategy, continuously evolving it to align with the company's DA&AI and overall product direction.
- Cultivate and Lead Data Product Talent: Build, support, and scale a high-performing team of Data Product Managers responsible for a portfolio of domain and cross-domain data products.
- Uphold Data Product Excellence: Define and implement robust standards for data product quality, accessibility, lifecycle management, security, and regulatory compliance.
- Strategic Prioritization for Reusability: Drive the strategic prioritization of high-value, reusable data products, thereby reducing duplication and enhancing efficiency across domains.
- Embed Data Product Mindset: Proactively embed data product management best practices—including vision setting, roadmapping, defining contracts, ensuring adoption, and managing lifecycles—across all Tech & Data teams.
- Key Advisor on Data & AI: Act as a critical senior strategic partner to the Director of Data, Analytics & AI and other leaders, offering insights and guidance on data and AI enablement.
- Orchestrate Stakeholder Alignment: Ensure effective and productive collaboration with essential teams including Data Platform & Engineering, Data Stewards, Enterprise Architecture, and Product Management.
- Drive Organizational Evolution: Spearhead change management initiatives and foster capability development within the dynamic data product organization.
Omschrijving
You will report to the director of data, analytics and AI, and will manage multiple data product managers (with expected growth in span of management).
- Strategic Ownership of Data Products: Take full ownership of the enterprise data product strategy, continuously evolving it to align with the company's DA&AI and overall product direction.
- Cultivate and Lead Data Product Talent: Build, support, and scale a high-performing team of Data Product Managers responsible for a portfolio of domain and cross-domain data products.
- Uphold Data Product Excellence: Define and implement robust standards for data product quality, accessibility, lifecycle management, security, and regulatory compliance.
- Strategic Prioritization for Reusability: Drive the strategic prioritization of high-value, reusable data products, thereby reducing duplication and enhancing efficiency across domains.
- Embed Data Product Mindset: Proactively embed data product management best practices—including vision setting, roadmapping, defining contracts, ensuring adoption, and managing lifecycles—across all Tech & Data teams.
- Key Advisor on Data & AI: Act as a critical senior strategic partner to the Director of Data, Analytics & AI and other leaders, offering insights and guidance on data and AI enablement.
- Orchestrate Stakeholder Alignment: Ensure effective and productive collaboration with essential teams including Data Platform & Engineering, Data Stewards, Enterprise Architecture, and Product Management.
- Drive Organizational Evolution: Spearhead change management initiatives and foster capability development within the dynamic data product organization.
Functie eisen
- 7+ years of experience in product leadership roles, preferably within complex organizations.
- A combination of data and product management experience.
- Proven experience leading data-as-a-product initiatives or large-scale data product transformations within complex organizations.
- Ability to blend strategic vision with practical execution and demonstrate strong people leadership.
- Comfortable operating in ambiguous environments and shaping new operating models.
- Possess a robust product mindset specifically applied to data, platforms, and analytics.
- Deep understanding of data governance, compliance, and quality, with the ability to integrate them effectively without hindering team progress.
- Skilled in executive-level influence and aligning stakeholders across diverse domains and disciplines.
- Demonstrated strategic thinking capability, with the ability to differentiate between critical priorities and secondary matters.
- Experience within a tech-driven organization is a plus.
