At a Glance
- Tasks: Lead data-driven product strategies and enhance decision-making for a major consumer loyalty business.
- Company: Dynamic company at the forefront of data science and personalisation.
- Benefits: Competitive salary, bonus, and flexible working arrangements.
- Other info: Opportunity to solve real business challenges in a rich data ecosystem.
- Why this job: Make a real impact by bridging data science and product development.
- Qualifications: Experience in data science and product management with strong stakeholder engagement skills.
The predicted salary is between 63000 - 77000 £ per year.
Data Product Manager | Decisioning 📍 London: 1-2 days per week in the office 💵 £100,000-£114,000 + bonus Are you a Product Manager who wants to sit at the intersection of data science, personalisation and commercial strategy, with real influence over how a business makes decisions at scale?
If so, this could be the ideal next step for you.
As Data Product Manager, you'll wrap around the data science team and own the experimentation paradigm, helping shape the decisioning and personalisation strategy - next best action, next best offer, recommender systems - for a large consumer loyalty business with a genuinely rich and complex data ecosystem.
You'll prioritise the DS roadmap, align data science output with front-end product teams, and make sure the team is working on the highest-value bets rather than technically impressive but strategically misaligned ones.
This role exists precisely because that alignment gap is real: a fully functional semantic search product was built without front-end buy-in and still isn't in use.
What are they looking for?
A former data scientist who has moved into product, or equivalent experience turning data science and optimisation work into real products Someone who has worked inside a data science function and understands how models actually get built Strong product judgement, able to weigh up model development by business impact rather than technical polish alone Comfortable holding your own with data scientists on what's feasible and what trade-offs are worth making Confidence operating with senior stakeholders, including where priorities genuinely conflict A solid grasp of how data science and experimentation work is typically structured and delivered A track record of getting models out of testing and into everyday use, not just building something clever What's in it for you?
A rare product role that sits genuinely at the intersection of data science, personalisation and commercial strategy Real influence over how decisioning and personalisation work end-to-end, not just at the margins A business with a rich, complex data ecosystem and real scale to make an impact in A mandate to fix a known problem - misalignment between DS output and front-end delivery - rather than inherit a vague brief Please get in touch now for more information on both the role and the company!
Data Product Manager employer: Burns Sheehan
Burns Sheehan offers an exceptional work environment in Oxford, where innovation meets collaboration. As a Platform Engineer, you will not only tackle unique engineering challenges but also benefit from a culture that prioritises employee growth and development. With access to cutting-edge technology and a commitment to making a visible impact in the robotics field, this role provides a rewarding opportunity for those looking to thrive in a high-growth technology landscape.
