Senior Data Product Manager

As our Senior Data Product Manager, you'll sit right at the intersection of product, analytics, engineering and senior leadership, helping define the data products that power smarter decisions across Liberis. You'll have real ownership over roadmap, prioritisation and ways of working, and your work will directly influence how teams access, understand and use data day to day. This role is a high-impact opportunity for someone who wants to shape how a business uses data at scale! You'll be joining a team with a broad remit and a genuine mandate to improve the data experience across the company, so there's a lot of scope to make the role your own and shape the future of the domain. You will own the data and insights product for Liberis, building the foundations that let our commercial, credit and operations teams actually understand the business they're running.

Responsibilities

Help Liberis's commercial decision makers understand the small businesses we serve and how they consider, use and perform across our product range, including developing dashboards, insight tools and self-serve capabilities; Own the roadmap for internal data & insight products; Work with stakeholders across commercial, credit, finance and operations to define what good looks like; Run prioritisation, manage the backlog and make decisions about where effort goes; Review data models and dashboards, ask hard questions about definitions, and make sure what we ship is accurate and trusted; Partner closely with engineering on how data is modelled and structured in BigQuery and DBT, and with analysts on how it gets presented in Looker; Expand our partner-facing reporting

Requirements

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

Benefits

Accredited Real Living Wage employer