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Head of Data Visualisation & Automation

Job in Southampton, Hampshire County, SO15, England, UK
Listing for: Women in Data®
Full Time position
Listed on 2025-12-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Job Description & How to Apply Below

Join to apply for the Head of Data Visualisation & Automation role at Women in Data®

We believe anyone can improve their home to make life better. From our Southampton Store Support office (SSO) we equip our stores, our people, and our whole business with everything it takes to help our millions of customers create a home they’ll love. Join us as a Head of Data Visualisation & Automation and you’ll be a big part of this.

Role

Purpose

The Head of Data Visualisation & Automation will join the B&Q Data Leadership team. You’ll oversee the design, development and delivery of B&Q’s enterprise dashboards, workflow automations and visual data product enablement across the wider business. Your remit includes how the business uses these products; establishing consistent design standards, building robust and scalable data models and driving adoption. This isn’t just reporting & BI;

it’s a highly visible leadership role, responsible for unifying reporting and raising standards across functions, and building the capability and culture that make B&Q a genuinely data-driven business.

What’s the job?
  • Lead the Data Visualisation & Automation team, ensuring capability for now and the future. Grow the team through coaching, training and recruitment, and develop a culture of learning, empowerment, experimentation and collaboration.
  • Lead and deliver the product development strategy for dashboards, reports and data apps across B&Q, setting standards for design, storytelling and self‑serve analytics. Built on the Power Platform and aligned to group Tech governance and architecture.
  • Work in partnership as part of the Data Leadership team at B&Q, with peers in Analytics, Data Science, Insight and Data Strategy & Governance, to deliver integrated, first‑class data solutions that support consistent decision‑making across B&Q.
  • Own the vision and roadmap for a new B&Q Insight Platform, ensuring it becomes the business‑wide destination for insight, planning and decision support. Within it, develop interactive dashboards, data applications and tools that address core business challenges such as range optimisation, pricing, performance tracking and operational efficiency, working in collaboration with Analytics and Data Science.
  • Ensure DVA products are intuitive, accessible and scalable, supporting widespread adoption across the business. Either transform or remove all legacy reporting.
  • Engage senior stakeholders to understand strategic priorities and, where relevant, translate these into data product requirements, prioritising value.
  • Play an active role with peers in Analytics & Data Science and Insight to set up and drive the success of the overall Data & AI demand process & forums across B&Q, removing all historic processes and forums.
  • Develop a backlog of work and use agile management practices to prioritise effectively across DVA needs, ensuring the team delivers high‑value outcomes at pace.
  • Define and maintain the data requirements roadmap for DVA, working with Data Delivery to realise this, ensuring robust models, flows and automation from source systems to business‑ready outputs. Ensure your team use only assured and controlled data assets within a governed and managed environment.
  • Bridge the gap between Databricks and Power BI, defining the right data flow, models and automation that connect gold‑layer foundations to practical business tools.
  • Lead automation initiatives using the Power Platform and cloud tools (Databricks, dbt) to reduce manual effort and support repeatable, high‑quality insight and other data products (e.g. TP Connect, retail equipment checking tools, in‑store visitor management).
  • Set and uphold design, modelling and engineering standards across all BI products, covering storytelling, user experience, data quality, security, naming conventions, documentation, CI/CD and version control.
  • Ensure insight products are accurate, auditable and maintainable, with clear ownership and lifecycle management.
  • Champion safe, governed self‑serve adoption, enabling colleagues to access trusted and actionable data in their day‑to‑day roles.
  • Establish kitemarked data definitions, methodologies and governance, promoting a single…
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