Data Product Manager

Requirements

• 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're looking for a seasoned Product Manager with experience of working across complex, internal data products
• Solid data literacy:
  You are comfortable with SQL and understand the Modern Data Stack (like Big Query, Dataform, and APIs). You can chat with engineers about data modelling and AI integrations without getting lost
• Full‑stack product thinking:
  Proven experience managing complex, internal data products in a fast‑growing business
• Data‑driven leadership:
  You know how to use behavioural data, predictive modelling, and machine learning to build highly personalised customer journeys
• Commercial smarts:
  You understand commercial concepts like LTV, CAC, Opex, and Capex, and factor them into your product and investment decisions
• Smart decision‑making:
  Experience evaluating third‑party vendors (build vs. buy decisions) and integrating them into an existing tech ecosystem
• Stakeholder management:
  Experience working with a range of stakeholders including highly technical specialists through to senior executives in commercial functions. You'll be adept at building relationships, managing expectations firmly and delivering value
• Strategic customer focus:
  You understand the internal customer deeply and build deep connections across the business to identify and analyse new growth opportunities
• Not sure you meet all the requirements? Let us decide! Research shows that women and members of other under‑represented groups tend not to apply for jobs if they think they may not meet every qualification, when in fact they often do

• We're looking for a Data Product Manager who lives at the intersection of complex tech and commercial strategy
• 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
• 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 deep‑seated user pain points
• Leading big deliveries:
  Manage the end‑to‑end delivery of large, multi‑quarter initiatives, make high‑stakes decisions (like feature deprecation or strategic pivots), and spot and manage any risks along the way
• Aligning stakeholders:
  Act as an Ambassador for the Data team. Keep a complex mix of internal and external partners on the same page, manage blockers proactively, and present clear, compelling strategic narratives to senior leadership
• Technical specs & integrations:
  Define complex, multi‑system feature sets, design API integrations, and guide data modeling discussions with engineers to make sure our systems talk to each other seamlessly
• You’ll be joining a Data team that is on a serious roll—in fact, we are nearly doubling its size! We are doubling down on our data capability across the entire company
• As our new Data Product Manager, you will report to the Head of Data Science and you will be the key link between the Data squad and the wider business
• You’ll help our teams prioritise their work, understand their commercial impact, and represent the voice of Data in major technology and business decisions