Data Product Manager

You will thrive in ambiguity, relentlessly pursue outcomes, and turn complex data into products that customers love and the business values. You are commercially minded, technically curious, and obsessed with solving real customer problems.

This is not a delivery coordination role. This is a strategic product leadership role responsible for shaping, building and growing commercially successful data products that leverage Reward’s unique transaction, merchant and customer data assets.

Working closely with Data and Software Engineering, Analytics Engineering, Data Science, BI, Commercial teams / Consumer Insights, you will define the product strategy, validate customer needs and deliver data products that create measurable business value across banking, retail, loyalty and finance media.

Responsibilities

• Act as the voice of the customer (internal and external) throughout the product lifecycle
• Own the end-to-end lifecycle of a portfolio of data products, from discovery and development through to launch, adoption, optimisation and retirement
• Define product vision, strategy and roadmaps aligned with customer needs and commercial priorities
• Identify opportunities to commercialise transaction, merchant and customer data into scalable data products
• Work closely with Data Engineering, Analytics Engineering, Data Science, BI and Commercial teams to deliver high-impact products
• Lead discovery, validate assumptions quickly and champion experimentation and rapid learning
• Champion modern product management practices and help embed a product-led culture across the organisation
• Continuously improve existing ad hoc initiatives by identifying opportunities to scale, or retire low-value capabilities

Requirements

Essential

• Experience managing data, analytics or AI products throughout the full product lifecycle
• Strong product management capability across discovery, prioritisation, roadmap development and product delivery
• Experience working in Agile product teams
• Experience balancing customer needs with commercial outcomes
• Excellent stakeholder management across technical and non-technical audiences
• Strong analytical and problem-solving skills
• Experience defining product KPIs, OKRs and success metrics
• Excellent communication, presentation and storytelling skills
• Experience building business cases and influencing senior stakeholders
• Tenacity, resilience and the ability to drive outcomes in complex environments

• Experience working with payments, merchant or customer data
• Experience building customer intelligence, analytics or commercial data products
• Knowledge of modern cloud data platforms and tooling
• Experience working with AI, machine learning or advanced analytics products
• Experience with APIs, experimentation, product analytics and A/B testing
• Experience within financial services, banking, retail, loyalty, commerce media or digital advertising.

Benefits

• Annual Leave: 25 days + bank holidays
• Ability to buy and sell holiday days as well as the ability to bank days (tenure dependant)
• Flexible working options: we are operating a hybrid working model with 3 days a week from the office
• Pension: Hargreaves Lansdown up to 6% matched contribution
• Generous family friendly cover
• Private healthcare - Bupa
• Income protection
• Critical illness cover
• Life insurance cover
• Dental cover
• Optical cover
• Yulife app for access to employee wellbeing and discounts
• Perks at Work, cashback/discount shopping site
• Employee referral scheme
• Salary sacrifice program which includes cycle to work scheme, electric car scheme and season ticket loans
• Volunteering program
• Company events i.e. Christmas party, all-company event and other social/hosted events during the year (we have an active social committee!)
• Team socials