Burns Sheehan
Product Data Manager

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π Data Product Manager β Decisioning, Optimization & Data Science | Consumer Loyalty Brand
π Remote (office in London)
π° Up to Β£110,000 + 20% bonus
π Consumer / Loyalty / Data-led Business
We're partnering with a well-known consumer loyalty business on a key Data Product Manager β Decisioning, Optimization & Data Science hire, sitting in the central data product team. This is a high-impact role wrapping a data science function, owning the experimentation paradigm, and shaping how decisioning and personalisation drive real business value.
This is not a delivery-style product role. They want someone who can think like a data scientist and act like a product leader β someone who can cut through internally-driven work and align the data science team to outcomes that matter, like personalisation, recommender systems, and next-best-action platforms.
Reasons to use Rodeo
Iβm in my final year doing Economics and I donβt know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer β it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) donβt need a masters. Letβs look at the ones youβd be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant β 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
Youβve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon β deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme β client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right β and where to focus when applying.
What you'll be doing as the Data Product Manager:
- β Owning the decisioning and personalisation strategy, sitting on top of recommender and next-best-action platforms
- β Driving prioritisation for the data science team, ensuring work aligns to measurable business value
- β Owning the experimentation paradigm across the business
- β Helping craft the organisation's approach to decisioning and optimisation at scale
- β Operating as a true product leader in a fast-moving, ambiguous environment that values speed and flexibility
Requirements for the Data Product Manager:
- πΉ Ex-data scientist who has moved into product, or a product manager with strong data science exposure
- πΉ Strong understanding of experimentation, decisioning, and optimisation concepts
- πΉ Experience working with or alongside recommender systems, next-best-action, or personalisation platforms
- πΉ Ability to prioritise and push back β comfortable saying no to stakeholders and sequencing demand effectively


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Why is this Data Product Manager role a great opportunity?
- π‘ High-impact role owning decisioning and personalisation strategy for a major consumer brand
- π‘ Rare opportunity to bridge data science and product in a business investing heavily in its data capability
- π‘ Genuine product role β focused on strategy, trade-offs, and business value, not just delivery
If this sounds like you, please apply below!
βIt took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what Iβve been looking for.β
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