Overview
As Senior Product Owner, Data Products, you will define and execute the data product strategy for Asset & Invoice Finance, aligning customer needs, commercial goals, and technology investments. You will lead a cross-functional team and partner with Engineering, Data, Risk, and Business units to deliver data-led capabilities that enhance customer experience and drive growth. This role offers influence at senior levels and a chance to establish data as a key growth enabler. You’ll work in a hybrid, collaborative environment with real impact on business outcomes.
Pay / Benefits
- generous pension contribution up to 15%
- annual performance-related bonus
- share schemes including free shares
- discounted shopping
- 30 days’ holiday plus bank holidays
- wellbeing initiatives and parental leave policies
Responsibilities
- Define and deliver the data product vision, strategy and roadmap for Asset & Invoice Finance
- Lead a cross-functional team (Product, Customer Journey, Integration) to enable high-performing delivery
- Translate customer, commercial and business priorities into clear product outcomes and investment decisions
- Develop data-led propositions and capabilities to improve customer experience and support growth
- Partner with Engineering, Data and Architecture to shape scalable data solutions
- Lead delivery across multiple agile feature teams ensuring alignment with strategic outcomes
- Influence senior leaders, communicating progress and value clearly
- Champion innovative ways of working and bring external market insight to the data agenda
Key requirements
- Proven senior product leadership experience, shaping strategy, investment priorities and delivery outcomes
- Experience building data, analytics or technology-enabled products in a complex organisation
- Track record translating customer needs and business priorities into successful product outcomes
- Experience leading multidisciplinary teams and delivering via scaled agile product operating models
- Strong communication and influencing skills with senior leaders across business, technology and data teams
- strong communication
- influencing and stakeholder management
- leadership of multidisciplinary teams
- data-led product development
- analytics or data product ecosystems
- modern data platforms
…
