Senior Data Product Manager/Data Product Manager/Head of Data Product

We've partnered with a brilliant FinTech business that's going through a major transformation across Data, Digital, Technology and Customer Experience. They're completely rethinking how customers and colleagues interact with the business and its platforms, all powered by large-scale, complex data.

As part of this journey, they're looking for two Senior Data Product Managers to take ownership of key data domains. Whilst strong data expertise is important, the real focus is finding proven Product Managers who know how to define, shape and grow successful data products.

This is not a Project Manager or Delivery Manager role. We're looking for true Product professionals who can own strategy, roadmap, adoption and outcomes from end to end.

What the job involves

• Data engineers build. Data scientists model. But someone needs to decide what gets built, why it matters, and whether it's actually delivering value. That's this role
• You'll own a portfolio of data products within a domain - defining what each product is, who it serves, and what outcome it drives
• You'll maintain the roadmap, make trade-offs, drive adoption, and kill things that aren't working. You're the interface between business stakeholders who need data to make decisions and the engineering teams who build it
• This isn't a reporting role or a project management role. It's product management applied to data: own the product, define the value, control the cost, and drive the decision
• Owning a portfolio of data products within a domain - defining purpose, users, scope, and success criteria for each
• Maintaining and prioritising the domain product roadmap, aligned to strategic priorities with transparent trade-offs
• Acting as the primary interface between domain leadership and data delivery teams - translating business priorities into product direction
• Defining metrics, logic, and SLAs in collaboration with modelling and engineering, ensuring products are consistent with enterprise semantics
• Driving adoption - making sure products are discoverable, trusted, understood, and actually used
• Owning cost and usage accountability - monitoring spend vs. value, eliminating unused or duplicated outputs, and optimising the portfolio
• Conducting regular discovery with data consumers to surface unmet needs and feed real demand into the roadmap
• Managing change across the portfolio - versioning, deprecation, consumer communication, and migration support
• Ensuring products meet governance, quality, and regulatory standards with clear ownership, lineage, and metadata

What You'll Be Doing

• Own a portfolio of data products within a specific domain, which could be Customer Data for example.
• Working on exciting innovations like building a Data Marketplace.
• Define product vision, strategy, roadmaps and success measures.
• You'll own a portfolio of data products within a domain - defining what each product is, who it serves, and what outcome it drives
• You'll maintain the roadmap, make trade-offs, drive adoption, and kill things that aren't working. You're the interface between business stakeholders who need data to make decisions and the engineering teams who build it
• Work closely with business stakeholders to understand needs and turn them into clear product priorities.
• Partner with Data Engineering, Architecture, Data Science and Governance teams to deliver valuable, trusted data products.
• Prioritise initiatives, make trade-offs and ensure focus remains on the highest-value opportunities.
• Drive adoption and usage of data products across the business.
• Monitor product performance, value delivered and operational costs.
• Ensure products meet governance, quality and regulatory requirements.
• Lead ongoing discovery to identify new opportunities and improve existing products.

What We're Looking For

• 5+ years' experience in Data Product Management, Analytics Product Management or a similar role.
• Proven track record of owning data products, not simply delivering projects.
• Strong understanding of data, analytics and how organisations consume and use data to make decisions.
• Experience defining product strategy, roadmaps and measurable outcomes.
• Excellent stakeholder management skills with the ability to influence and challenge senior leaders.
• Commercially minded with experience balancing value, cost and investment decisions.
• Experience working with Data Engineering, Architecture, Data Science and Governance teams.
• Comfortable operating in complex, regulated environments.

Nice to Have

• Experience with modern cloud data platforms such as Snowflake, BigQuery or Redshift.
• Exposure to AI/ML products, features or model governance.
• Experience managing data product SLAs and support models.
• Understanding of modern data product operating models.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.