Data Product Manager

• Define and drive the strategy for our analytics platform (including the migration from Looker/Metabase to a new, AI-native BI tool) and our core semantic data layer
• Work hand‑in‑hand with the Datapoints squad (Data Engineering, Analytics Engineering, Software Engineering, Team Lead/EM) to turn this strategy into well‑scoped initiatives and shipped outcomes
• Act as the “coach” for data product practices across Spendesk, helping product squads and business units (FP&A, RevOps, etc.) become autonomous and data‑savvy
• Ensure that our data products solve real problems, are discoverable and well‑documented, and are actually used in day‑to‑day decisions
• Co‑lead (with the squad’s Team Lead & A Engs) the vision and roadmap for Spendesk’s internal data products: analytics platform, semantic layer, shared business models, and self‑service experience
• Align stakeholders (Head of Data, Product, FP&A, RevOps, etc.) on a clear 6–12 month plan
• Turn strategic objectives into concrete initiatives with clear problem statements, success metrics, and business impact
• Co‑lead (with the EM & AE) the migration from Looker and Metabase to our new BI tool
• Own company‑wide adoption of the new BI tool
• Help recruit and onboard 2 Analytics Engineers
• Partner with the Analytics Engineer on the roadmap for our core semantic layer on top of the DWH
• Act as internal coach for data‑savvy practices in product squads and BUs
• Be a core member of the Datapoints squad
• Be the main point of contact for internal stakeholders regarding the analytics platform and semantic layer

• 4–7 years of experience in product management, data product ownership, analytics product management, ideally from a former full-stack data senior IC role
• A track record of owning internal data/analytics products (BI tools, semantic layers, data platforms, internal tools) from discovery through adoption
• Experience working closely with Data/Analytics Engineers and business stakeholders (Product, Finance, RevOps)
• Experience rolling out or migrating a BI or analytics platform is a strong plus
• Solid understanding of modern data platforms and BI: data warehouses (ideally Snowflake), dbt, and self‑service analytics tools
• Strong SQL skills for exploration and validation
• Good understanding of data modeling concepts (dimensional modeling, semantic layers, shared vs domain models)
• Familiarity with data quality, lineage, documentation, and governance
• Ability to discuss trade‑offs on performance, complexity, and maintainability with engineers
• Strong discovery skills: talking to users, identifying real problems, and defining success metrics
• Excellent prioritization and roadmap management: balancing foundational work, migrations, and urgent needs
• Experience working in agile squads, writing user stories/epics, and driving execution to impact
• A bias for simple, evolvable solutions rather than over‑engineering
• An excellent communicator who can make complex data topics simple and actionable
• Comfortable running trainings, workshops, and demos to drive adoption
• A natural facilitator and coach, patient with teams at different maturity levels
• Comfortable leading change in a context of tool and ownership shifts
• Combine strategic thinking with hands‑on execution
• Are user‑centric and measure success by adoption and satisfaction
• Are collaborative, low‑ego, curious, and comfortable with ambiguity
• Care about ethical, compliant and responsible data usage (finTech environment)
• As we are an international team, please submit your application and CV in English

Experience rolling out or migrating a BI or analytics platform is a strong plus

• Flexible on-site and remote policy
• Alan health insurance (fully covered by Spendesk)
• Meal vouchers through Edenred (€6 per working day)
• 100% reimbursement on public transportation subscription
• Access to Moka.care for emotional and mental health wellbeing
• 28 days of holidays
• Latest Apple equipment
• Great office snacks to fuel your day