Product Manager, Data Platform (Product Analytics)
Quick Summary
Job Description LI-KO1 Just imagine every data practitioner across the LEGO® Group can answer important business questions through a platform shaped by real user insight and evidence-based decisions.
LI-KO1
Just imagine every data practitioner across the LEGO® Group can answer important business questions through a platform shaped by real user insight and evidence-based decisions. Then make it real.
About the Role
~1 min readAs our Digital Product Manager, you'll help us understand, measure and improve how data practitioners experience and use our platform. You'll play a hands-on role in product analytics, user research and performance management, turning complex data and user feedback into actionable insights that inform product decisions. You'll connect quantitative insights with qualitative feedback, identify patterns and opportunities, and help the team focus on the problems that matter most to users.
Please note: Relocation support is not available for this role.
Requirements
~1 min read- Delivered product analytics frameworks and KPI development for digital products
- Built data analysis and visualization approaches that informed product decisions
- Applied product discovery and user research methods to uncover user needs
- Led product improvements using data and user insights in digital environments
- Managed stakeholder relationships across product, engineering and user communities
- Demonstrated experience working with digital products in a data-intensive or technical environment
- Worked with cloud data platforms, data engineering environments or Databricks
- Applied SQL alongside BI or product analytics tools to generate actionable insights
- Create a clear understanding of platform users, usage patterns and performance
- Turn data and user feedback into recommendations that improve the platform experience
- Identify meaningful patterns and opportunities that guide product priorities
- Increase visibility of platform performance and user behaviour for teams and stakeholders
- Help establish a stronger evidence-based approach to product management within the Data Platform team
If you've worked in a role where you've used data and user insights to drive product improvements, you'll feel at home here. What matters most is your ability to connect quantitative evidence with qualitative feedback and turn both into decisions that create value for users.
You'll join the Data Platform team within Digital Technology. We build the capabilities that make data easier to ingest, transform and prepare for consumption, helping colleagues across the LEGO Group get more value from data. We work in cross-functional product teams with close collaboration between product, engineering and data practitioners. Our hybrid rhythm combines flexibility and autonomy with regular team touchpoints and shared priorities. You'll thrive by bringing analytical thinking, clear communication, collaboration, curiosity, adaptability and a focus on outcomes.
Success means developing a deep understanding of how a complex and evolving data platform is used and helping the team make informed decisions based on evidence. Over the next 12 to 18 months, the team will focus on simplifying the end-to-end data journey, scaling self-service ingestion and transformation, improving the developer experience and increasing adoption of the Databricks platform. You'll work together with the Data Platform Product Trio, other product managers and leaders, data practitioners and stakeholders across the wider organisation to help shape that progress.
Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.
Here is what you can expect:
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- September 30, 2026
- First seen
- September 30, 2026
- Last seen
- September 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- September 30, 2026
Signal breakdown
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