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Open nowPosted 2 days ago

Senior Product Manager, Data Platform

Wolters Kluwer442 open roles

Where
NLD Alphen Aan Den Rijn
Work mode
Hybrid
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Your applicationOpen nowSenior Product Manager, Data PlatformWolters Kluwer · NLD Alphen Aan Den Rijn

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The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. Wolters Kluwer postings stay open a median of 39 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.1%7 days
  4. 21.1%14 days
  5. 35.7%30 days
  6. 58.7%60 days
This job: posted 2 days ago

Wolters Kluwer median: 39 days open

The posting

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.

Our interview practices

To maintain a fair and genuine hiring process, we ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our process is designed to assess your individual skills, experience and communication style. We value authenticity and want to get to know you, not a digital assistant. We ask candidates to remove virtual backgrounds, and we include in-person interviews in the process. Use of AI-generated responses or third-party support during interviews is grounds for disqualification. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

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