Do you want to have an excellent experience as an employee in one of the most pioneering toy companies in the market? Are you passionate about games and driven to provide exceptional products and services to customers worldwide?
This is the company you are looking for!
At Jumbo Group, we are not just an international company; we are an international playground. Our world is filled with games, puzzles, and toys that spread joy and inspire creativity across the globe. We enjoy a robust presence throughout Europe and in all corners of the world.
About the role
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.
What we're looking for
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.