BI & Data Management Lead
Role details
Job location
Tech stack
Job description
BI & Data Management is a newly formed function within Jumbo Group's Digital Transformation department. Our ambition is bold: to make trusted, well-defined data the foundation of how Jumbo makes decisions, and to put clear, role-relevant insight and AI-enabled answers directly into the hands of leadership and every function.
We are looking for a BI & Data Management Lead to shape and drive this function. This is a genuine player-coach role. You will be hands-on with the data, the dashboards and our AI initiatives; you will raise the technical bar and help our BI Analyst grow; and you will sit as a full member of the Digital Transformation leadership team, setting direction alongside our IT and Digital Experience leads.
It is a rare opportunity to own and build a modern, AI-enabled data function from the ground up, with direct visibility to the Management Team and CEO, real autonomy, and a clear path to grow as the function grows.
What you'll do
Deliver hands-on and raise the bar
- Design and build KPI cockpits: focused, role- and function-specific performance views, starting with an MT/CEO cockpit, using Power BI.
- Own and improve Power BI dashboards, data models and semantic layers, and drive adoption across business units.
- Work directly in the data warehouse and align it with reporting, KPI and AI needs.
- Coach and develop the BI Analyst on the craft: data modelling, DAX, definitions, dashboard design and delivery.
Drive AI and automation
- Help lead Jumbo's AI Data Warehouse Q&A initiative, enabling the Management Team and senior leadership to ask natural-language questions about sales and finance KPIs, and taking it from pilot to trusted, everyday use.
- Shape how AI is applied to data across the function: spot high-value use cases, work with agents built per use case, and help set direction on tooling and platforms (for example Azure OpenAI).
- Ensure clean definitions and a well-structured warehouse so that AI answers, and the decisions built on them, are trustworthy.
- Bring an experimentation mindset: stay close to what is newly possible with AI and automation, and turn it into practical wins that remove manual, repetitive effort.
Set direction for the function
- Own the BI & Data Management roadmap and maturity plan for 2027 and beyond, with AI and automation as core threads.
- Champion the cockpit concept: multiple focused, actionable views rather than one dashboard for everything.
- Prioritise the BI backlog against business value and keep delivery pragmatic.
Establish definitions, governance and data quality
- Build and maintain the KPI dictionary and data dictionary, giving the organisation shared, consistent definitions and the clean foundation that reliable AI depends on.
- Improve source data quality in partnership with the teams that own it, and make quality visible and actionable.
- Define standards for dashboards, datasets, ownership and certification, positioned as complementary to, not a replacement for, business ownership.
Align stakeholders
- Drive the cross-functional BI/Data working group (Finance, Sales, Operations, Marketing).
- Build trust across functions and navigate ownership sensitivities with a collaborative, complementary mindset.
- Translate business questions into clear data, reporting and AI solutions.
Requirements
Must-have
- Strong hands-on Power BI: data modelling, DAX, semantic models and dashboard design.
- Solid SQL and genuine comfort working with a data warehouse.
- A real enthusiasm for AI and hands-on experience applying it to data, for example LLM-based Q&A over data, or AI-assisted analytics and automation.
- A track record of defining KPIs and metrics and driving consistency and governance.
- The ability to turn business questions into clear, trusted reporting.
- Real stakeholder skills: able to align and constructively challenge across functions and up to leadership.
- A coaching mindset; someone who enjoys developing others.
- Pragmatic and delivery-focused, and comfortable being both hands-on and strategic.
Nice-to-have
- Experience with any of: Oracle Fusion, Anaplan, Zoho CRM, or similar enterprise source systems.
- Exposure to data warehouse platforms (for example Azure / Microsoft Fabric, Snowflake, Databricks, SQL Server) and to data cataloguing or data quality tooling.
- Experience with Azure OpenAI or similar enterprise AI platforms, and with building or evaluating AI agents.
- Retail, consumer goods, e-commerce or marketplace (Amazon, bol.com) context.
- Experience building or maturing a BI function.
Who you are
- Ready to step up into a lead role and own something end to end.
- Genuinely curious about AI and eager to put it to work in a real business setting.
- Equally credible discussing DAX with an analyst and priorities with the CEO.
- Collaborative rather than territorial about data and reporting ownership.
- Motivated by building, growing, and having a real seat at the table.