Utility Warehouse

Utilities

DataProductManager

£75–110k ~AI est. London, England, United Kingdom; Manchester, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data Product Manager at Utility Warehouse. Skills: Data Product Management, AI infrastructure, Data warehouse. Define one-year roadmap. Plan multi-squad projects”

What You'll Achieve.

Turn data challenges into high-value data products; Ensure data products drive growth; Ensure data products drive efficiency

Industry & Context.

Utilities
Problems you'll solve

Tackle complex data integration challenges; Solve deep-seated user pain points

What They're Looking For.

Must Have

Solid data literacy, Comfortable with SQL, Understand Modern Data Stack, Chat with engineers about data modeling, Chat with engineers about AI integrations, Full-stack product thinking, Proven experience managing complex internal data products, Data-driven leadership, Use behavioural data, Use predictive modelling, Use machine learning, Commercial smarts, Understand commercial concepts, Smart decision-making, Evaluate third-party vendors, Integrate third-party vendors, Stakeholder management, Work with technical specialists, Work with senior executives, Build relationships, Manage expectations firmly, Deliver value, Strategic customer focus, Understand internal customer deeply, Build deep connections across business, Identify new growth opportunities, Analyze new growth opportunities

Nice to Have

Experience working across complex internal data products

What You'll Do.

Define one-year roadmap

Plan multi-squad projects

Manage complex trade-offs

Own AI infrastructure development

Build self-serve data tools

Bridge gap between engineering teams

Solve user pain points

Manage end-to-end delivery

Make high-stakes decisions

Act as Ambassador for Data team

Keep partners on same page

Manage blockers proactively

Present strategic narratives

Define complex feature sets

Design API integrations

Guide data modeling discussions

How You'll Work.

Team & Collaboration

Multiple squads; Multiple engineering teams; Internal and external partners; Senior leadership; Data squad; Wider business; Technology decisions; Business decisions

Communication Scope

Translate technical architectures; Present strategic narratives

Process & Methodology

Agile delivery, Roadmap, OKRs, KPIs

Full Job Description

Hi! We're UW. We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings! We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you. Got your attention? Read on... We put people first. It’s all about you.. We're looking for a Data Product Manager who lives at the intersection of complex tech and commercial strategy. You get a real buzz out of taking knotty, backend data challenges—like aligning disparate schemas or scaling AI pipelines—and turning them into high-value data products that business teams love to use. You aren't just a backlog manager; you’re a collaborative leader who can confidently translate deep technical architectures for executive stakeholders and align multiple squads around a single, cohesive data vision. We deliver progress. What you’ll do and how you will make an impact. You will tackle the complex data integration challenges of a multi-utility business, combining product strategy, technical business analysis, and agile delivery. Your goal is to make sure our data products aren't just built, but are purpose-built to drive growth and efficiency. Here is what you will get stuck into from day one.. * Setting the vision : Define the one-year roadmap for the Data domain, look 3 to 6 months ahead to plan multi-squad projects, manage complex trade-offs, and set clear KPIs and OKRs. * Building our Data & AI foundation: Work on building our brand-new data warehouse as a robust data foundation, whilst owning the ongoing development of our AI infrastructure—including Chatbots and Agentic AI. * Enabling self-serve journeys : Help build self-serve data tools so colleagues across UW can get the insights they need at their fingertips. * Designing great features : Lead the design process for complex features and bridge the gap between multiple engineering teams to solve

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