Senior Product Manager, Data Platform

Enablon Netherlands B.V.; Alphen aan den Rijn; Hybrid; EUR 120,000 - 160,000; Full time

Job summary

Enablon, part of Wolters Kluwer, is shaping the data foundation behind analytics and AI across its product portfolio. As Senior Product Manager, Data Platform, you will set the direction for the data platform and evolve it into a reliable, governed base for analytics and AI-enabled experiences.

You will own the vision, strategy and roadmap, collaborate with data engineers, architects and business leaders, and partner with a vendor to deliver a scalable platform that enables trusted insights for

Qualifications

• 6+ years of product management in enterprise software, platform or data-intensive products.
• Ownership of a data platform, data products or shared platform capabilities used by several teams, not only end-user features.
• Experience defining strategy for data platforms, master or reference data, interoperability, APIs, analytics foundations or data governance, and turning it into a sequenced roadmap.
• Credibility with architects, data engineers and software engineers on pipelines, storage, APIs and governance.
• Experience working across many teams and stakeholders in a matrixed organisation, with executive-level communication skills.
• Bachelor's or master's degree in a technical or related field.
• Hands-on experience with lakehouse or cloud data platforms such as Databricks, Snowflake, Microsoft Fabric or similar; streaming and change-data-capture patterns; data foundations for AI products; experience in regulated enterprise domains.

Responsibilities

• Own the strategy and roadmap for the data platform.
• Decide which data the platform makes available, in what shape, for which consumers and in what order, and make each investment trade-off explicit and tied to a customer or business outcome.
• Treat data as a product. Define the data products, semantic models and shared data services the portfolio relies on, and set the standards for quality, lineage, governance and access so that analytics and AI teams can trust what they consume.
• Partner with data engineering and architecture on how the platform evolves: streaming from operational systems to the lakehouse, storage and compute, and the boundary between what the platform provides and what a product builds itself.
• Run discovery with the platform's consumers, product teams, analytics, AI teams and customers; validate assumptions before large investments, measure adoption and value, and adjust.
• Align the portfolio behind shared data priorities, explain platform value to non-technical executives, and manage the relationship with our data platform vendor.

Skills

Data platform

Stakeholder management

Strategic thinking

Executive communication

Cross-functional collaboration

Analytical thinking

Education

Bachelor's or Master's in technical field

Tools

Databricks

Snowflake

Microsoft Fabric

Job description

Shape the data foundation behind Enablon's analytics and AI. Enablon's products run the daily operations of some of the world's largest organisations, and they bring together data from many sources and customer systems. Our data platform turns that data into fast, trusted insight for every Enablon product and for the customers who rely on them. As Senior Product Manager, Data Platform, you will set the direction for this platform and evolve it into the data foundation for the analytics, operational intelligence and AI‑enabled experiences our customers expect today.

Job Description

You own the vision, strategy and roadmap for Enablon's data platform: the shared data capabilities every Enablon product builds on. You work with data engineering and architecture, with the product teams that consume the platform, and with business leaders, and you turn their needs into a platform that is reliable, governed and ready for AI.

Responsibilities

• Own the strategy and roadmap for the data platform.
• Decide which data the platform makes available, in what shape, for which consumers and in what order, and make each investment trade‑off explicit and tied to a customer or business outcome.
• Treat data as a product. Define the data products, semantic models and shared data services the portfolio relies on, and set the standards for quality, lineage, governance and access so that analytics and AI teams can trust what they consume.
• Partner with data engineering and architecture on how the platform evolves: streaming from operational systems to the lakehouse, storage and compute, and the boundary between what the platform provides and what a product builds itself.
• Run discovery with the platform's consumers, product teams, analytics, AI teams and customers; validate assumptions before large investments, measure adoption and value, and adjust.
• Align the portfolio behind shared data priorities, explain platform value to non‑technical executives, and manage the relationship with our data platform vendor.

Requirements

• 6+ years of product management in enterprise software, platform or data‑intensive products.
• Ownership of a data platform, data products or shared platform capabilities used by several teams, not only end‑user features.
• Experience defining strategy for data platforms, master or reference data, interoperability, APIs, analytics foundations or data governance, and turning it into a sequenced roadmap.
• Credibility with architects, data engineers and software engineers on pipelines, storage, APIs and governance.
• Experience working across many teams and stakeholders in a matrixed organisation, with executive‑level communication skills.
• Bachelor's or master's degree in a technical or related field.
• Also valuable: hands‑on experience with lakehouse or cloud data platforms such as Databricks, Snowflake, Microsoft Fabric or similar; streaming and change‑data‑capture patterns; data foundations for AI products; experience in regulated enterprise domains.

Who you are

• Strategic and pragmatic: you hold a multi‑year view and still deliver this month.
• Enterprise‑minded: you think in shared capabilities and portfolio outcomes.
• Technically fluent without needing to be the engineer.
• Customer‑ and outcome‑led: success is adoption and value, not features shipped.
• A decisive collaborator who influences without formal authority, a systems thinker, and a clear communicator who makes complex topics simple for any audience.

Why this role

You take an established platform at the moment it matters most. As Enablon's customers ask for more insight and more AI in their daily work, the data platform decides how fast and how reliably we can deliver it. You will set its direction with an executive sponsor, an experienced engineering team and a vendor partnership in place.

About Enablon and Wolters Kluwer

At Enablon we help some of the world's leading organisations create safer, more sustainable and more resilient businesses. We are a global leader in EHS, Sustainability, Operational Risk Management and ESG software. As part of Wolters Kluwer, a global organisation with around 20,000 employees in more than 40 countries, we combine the agility of a market‑leading software business with the stability, scale and opportunities of a global technology company.

What we offer

• A highly visible product role with strategic impact across the Enablon portfolio.
• The opportunity to shape a platform capability that every Enablon product depends on.
• Collaboration with experienced product, engineering and business leaders.
• A flexible hybrid working environment.
• Competitive salary, annual incentive plan and a comprehensive benefits package.
• Professional growth and development within a global organisation.

Equal Opportunity / Diversity Statement

All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, gender identity, transgender status and sexual orientation), national origin, disability, age, genetic information, veteran status or any other characteristic protected by applicable law, and we do not tolerate discrimination on any of these bases.

We are also committed to complying with laws requiring equal opportunity in hiring, promotion and other employment decisions. We provide a welcoming environment and equitable opportunities for all employees regardless of background, nationality, race, ethnicity, gender, gender identity, age, sexual orientation, marital status, disability or religion.