Data Product Manager
Listed on 2026-02-16
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IT/Tech
Data Analyst, Data Science Manager
This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay rangeDirect message the job poster from Harnham
Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI RevolutionUp to £90,000 + Benefits
About the CompanyOur client is an award-winning search intelligence platform that helps global brands, marketers, and agencies gain an unparalleled understanding of the paid search landscape. Powered by patented AI technology, they enable clients to optimise spend, increase ROI, and stay ahead of the competition.
Trusted by leading global brands and backed by a top-tier growth partner, they’ve been redefining search intelligence for over a decade. In 2024, they secured multiple industry awards including Best AI Search Software Solution, Best Use of AI for Data, and Best PPC Management Software Suite.
You’ll be joining a business that combines the maturity and stability of an established company with the agility, autonomy, and growth potential of a fast-scaling tech organisation. They pride themselves on a strong, people-first culture with a 93% approval rating and high employee satisfaction.
About the RoleYou’ll join the Product function, working alongside leading AI and data specialists. The team is focused on delivering innovative, data-driven products that make a measurable difference to customers and the business.
As the Product Manager for the Data & Data Science team, you’ll own the data platform roadmap and backlog - driving strategy, performance, and innovation across distributed data systems, ETL pipelines, and data science capabilities.
Key Responsibilities- Define and lead the vision and strategy for data products and services, ensuring alignment with business goals.
- Manage the backlog for data engineering and data science teams, prioritising initiatives that enhance performance, scalability, and cost efficiency.
- Translate complex data and AI requirements into clear, actionable product stories.
- Partner closely with engineering, data science, and design to deliver high-quality data features and platform improvements.
- Champion a user-centric approach by collaborating with internal stakeholders to understand their needs and drive data-led decision making.
- Define and track KPIs to measure the success and impact of data product initiatives.
- Stay ahead of market trends in data engineering, big data, and AI — ensuring the product remains at the forefront of innovation.
- Experience as a Product Manager, Product Owner, Data Engineer, Data Scientist, or Senior Data Analyst.
- Proven experience managing or contributing to data platform or data science roadmaps.
- Strong understanding of ETL processes, data pipelines, and data infrastructure.
- Working knowledge of agile methodologies (Scrum, Kanban) and tools such as Jira.
- Ability to translate technical concepts into commercial impact.
- Experience with SQL, Python, and APIs.
- Understanding of market research, business case creation, and KPI setting.
- Familiarity with GenAI tools and modern data workflows.
- Experience working with AWS or GCP.
- Exposure to high-volume data platforms in AdTech or Mar Tech environments.
Mid-Senior level
Employment typeFull-time
Job functionProduct Management and Science
IndustriesTechnology, Information and Media
London, England, United Kingdom
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