Data Product Manager
CV-LibraryCity of Westminster, Greater LondonpermanentPosted: 2 April 2026
Apply NowA 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
Key requirements
* 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)
If this aligns with your background, apply and we’ll share the full context, interview process and role priorities at first conversation
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
Key requirements
* 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)
If this aligns with your background, apply and we’ll share the full context, interview process and role priorities at first conversation