Senior Data Product Manager

What you'll do: Your primary job is to help Liberis's commercial decision makers understand the small businesses we serve and how they consider, use and perform across our product range. Doing this well requires a clear conceptual model of the business and a willingness to engage with stakeholders across the business, as well as taste and customer empathy in developing a great insights product including dashboards, insight tools and self-serve capabilities. You will own the roadmap for our internal data & insight products. Working with stakeholders across commercial, credit, finance and operations, you will define what good looks like and then work with your team to build it. You will run prioritisation, manage the backlog and make decisions about where effort goes. You will also spend a meaningful amount of time in the detail, reviewing data models and dashboards, asking hard questions about definitions, and making sure what we ship is accurate and trusted. You will partner closely with the engineering side of your team on how data is modelled and structured in BigQuery and DBT, and with analysts on how it gets presented in Looker. You don't need to write production code, but you need enough technical understanding to be a genuine partner in those conversations. You will also be responsible for continuing to expand our partner-facing reporting, whereby partners gain visibility into their portfolio. What we think you'll need: This role requires someone who can think clearly about complex data structures and translate that thinking into products that non-technical people actually find useful. The ideal person has strong conceptual thinking skills, great product instincts and enough technical depth to earn the trust of the engineers and analysts they work with. Proven experience in a senior data product or analytics product role in a business with real complexity A track record of helping commercial teams make better decisions through better data, not just shipping dashboards Strong ability to think about entities, taxonomies and relationships in data Hands-on experience with Looker and LookML and familiarity with best practices and scalable approaches to these systems Working knowledge of SQL, DBT and BigQuery, enough to engage seriously with how data is modelled and what's feasible, and to express your thinking in code-speak where needed Experience working with a multi skilled team of analysts and data engineers Clear, confident communication with senior commercial stakeholders Next steps If this opportunity feels like the right fit for your next career move, we’d love to hear from you! Even if you don’t meet every requirement, don’t hesitate to apply or reach out to Chess (Internal Recruiter) on chess.crossley@liberis.com Our hybrid approach Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week, but ideally 4 days. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office. #LI-CG1