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About the Role
As our Senior Data Product Manager, you will sit at the intersection of product, analytics, engineering, and senior leadership to define data products that power smarter decisions across Liberis. You will have ownership over the roadmap, prioritization, and ways of working, directly influencing how teams access, understand, and use data daily. This is a high-impact opportunity to shape how a business uses data at scale and to make the role your own within a team with a broad remit to improve the data experience across the company. You will own the data and insights product for Liberis, building foundations for commercial, credit, and operations teams to understand the business. This involves considering entities in our data model, relationships between products and customers, how these relationships surface in reporting and analysis, and how they translate into dashboards, tools, and self-serve capabilities. The goal is to ship genuinely useful products, not just technically correct ones. You will be a leader in the company's AI-first transformation, improving data, insights, and analytics capabilities at the intersection of data and AI.
Responsibilities
- Help Liberis's commercial decision makers understand the small businesses we serve and how they consider, use, and perform across our product range.
- Engage with stakeholders across the business.
- Develop a great insights product including dashboards, insight tools, and self-serve capabilities.
- Own the roadmap for our internal data & insight products.
- Define what good looks like and work with your team to build it.
- Run prioritization and manage the backlog.
- Make decisions about where effort goes.
- Review data models and dashboards, asking hard questions about definitions, and ensuring accuracy and trust in shipped products.
- Partner closely with the engineering side of your team on data modeling and structuring in BigQuery and DBT.
- Partner with analysts on data presentation in Looker.
- Expand partner-facing reporting, providing partners visibility into their portfolio.
Requirements
- Ability to think clearly about complex data structures and translate that thinking into useful products for non-technical people.
- Strong conceptual thinking skills.
- Great product instincts.
- Sufficient technical depth to earn the trust of engineers and analysts.
- Proven experience in a senior data product or analytics product role in a complex business.
- Track record of helping commercial teams make better decisions through better data.
- 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.
- Working knowledge of SQL, DBT, and BigQuery, sufficient to engage seriously with data modeling and feasibility.
- Experience managing a mixed team of analysts and data engineers.
- Clear, confident communication with senior commercial stakeholders.
Skills
- Data modeling
- Looker
- LookML
- SQL
- DBT
- BigQuery
- Product management
- Analytics
- AI
Location
- Global
Work Type
- Hybrid
Experience Level
- Senior
About the Company
- Founded in 2007.
- Provided over $3bn of funding to small businesses.
- Named in CNBC & Statista Top 150 UK Fintechs for 2025.
- Global team with a presence in 6 key locations.
- Thriving community of over 290 innovative minds.
- Celebrates over 27 nationalities.
- Team members bring experience from over 740 previous companies.
- Named as one of FinTech’s Finest 50 by Welcome to the Jungle.
- Accredited Real Living Wage employer.
- In the middle of a meaningful shift, becoming a multi-product embedded finance company.
- AI-first transformation in the Engineering Team.