Data Product Manager
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Duration:
Until end of September **, with possibility to extend
Location:
Fully remote (European Union)
About the project
Remobi is partnering with a global energy technology leader on a high-visibility initiative to build live data applications for one of its European manufacturing sites. Cameras on the factory floor detect objects, and the applications must process this unstructured video and image data and respond instantly. The first release is due within 3–4 months, with the longer-term aim of scaling the solution to other sites.
The role
You will own the product from discovery to delivery, turning high-level ambitions into clear requirements and a roadmap. Factory environments are complex and fast-moving, with strong personalities and many stakeholders, so communication and judgement matter as much as process.
Key responsibilities
Lead planning and delivery of data PoCs and projects, aligned with business goals
Capture detailed requirements from factory, business and technical stakeholders, staying grounded in what users need
Build and maintain the roadmap; run backlog refinement and support sprint planning
Prioritise demand by business impact, resources and strategic fit
Build business cases and secure stakeholder commitment to value assumptions
Track progress, manage risks and communicate status clearly and honestly
Work with the Solution Architect, data engineers and data scientists to set achievable delivery commitments
Required skills and experience
Proven Product Manager experience on data or data science products
Strong grasp of data science concepts, methodologies and tools
Outstanding communication; comfortable handling senior and strong-minded stakeholders
Works autonomously in ambiguous, complex environments
Agile delivery experience and tools such as Jira
Ambitious but honest about what can be delivered and what is still unknown
Nice to have
Hands-on data science skills; experience with low-latency, computer vision or manufacturing/industrial products.
Process
Two-stage interview process, with a quick turnaround to meet the November start.
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