Data Product Manager
Marylebone High, City of Westminster
Data Product Manager
Salary not available. View on company website.
Marylebone High, City of Westminster
- Full time
- Permanent
- Onsite working
Posted 3 weeks ago, 3 Apr | Get your application in now before you miss out!
Closing date: Closing date not specified
Job ref: dc770505cba04c7e8e14df296594836d
Location ref: City of Westminster
Full Job Description
A regulated professional services business is hiring a Data Product Manager to lead the direction and delivery of their data and analytics products. This role sits at the intersection of stakeholders and technical teams, with a clear goal: define and execute a roadmap that improves the quality, consistency and usability of data, so reporting and analytics are trusted, scalable and widely adopted to support decision-making across the organisation. This is 3 days a week based in their central London office. Day-to-day responsibilities
- Own and maintain a prioritised roadmap for data and analytics initiatives, aligned to business outcomes
- Lead discovery with stakeholders to clarify needs, define scope, and agree success measures
- Translate requirements into clear delivery briefs (definitions, metric logic, acceptance criteria, dependencies)
- Design end-to-end analytics workflows from intake through to delivery, adoption and iteration
- Establish practical governance across datasets and reporting (ownership, access, documentation, quality checks)
- Partner closely with data engineering and analytics/BI teams to support delivery and manage trade-offs
- Track adoption and impact of delivered solutions, and continuously improve based on feedback and usage
Experience delivering data or analytics solutions end-to-end, including scoping, prioritisation and stakeholder management - Strong product mindset: comfortable dealing with ambiguity, planning work, and driving outcomes through a roadmap
- Solid understanding of data engineering and analytics concepts, with the ability to speak credibly with technical teams
- Working capability in SQL and Python (not necessarily advanced, but able to read/write and validate logic)
- Strong grasp of data modelling and metric definition, with a focus on consistency and trust in reporting
- Clear communication skills and the ability to influence across technical and non-technical audiences
- Experience designing governance that is practical and supports delivery (quality, ownership, access, documentation)
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