National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Product Data Manager

Forsyth Barnes
London
4 months ago
Applications closed

Related Jobs

View all jobs

Principal Product Manager – Data Science & Machine Learning

Data Science Manager

Staff Data Scientist London, England

Senior Data Scientist - Creative Optimization

Data Scientist

Lead, Data Scientist (Deep Learning), Peacock Video Streaming Service

Job Title: Principal Data Product Manager - Insight & Analytics

Location: London - Hybrid

Industry: Travel

Salary: £100,000 - £130,000

About the Role:

An exciting opportunity has arisen for a Principal Data Product Manager - Insight & Analytics to join a dynamic and fast-paced environment. This role is ideal for an experienced data product leader who is passionate about delivering strategic insight solutions, shaping BI tooling, and driving actionable analytics to enable smarter business decisions.


The Data Team plays a pivotal role in empowering a data-driven culture, leveraging advanced analytics and cutting-edge business intelligence tools. This role will focus on developing and implementing insight products, including BI dashboards and a cross-functional metric mart, ensuring consistent and scalable data-driven decision-making across all business functions.


Key Responsibilities:

  • Strategic Vision: Define and drive the strategic roadmap for Insight & Analytics products, ensuring alignment with business objectives and industry best practices.
  • Stakeholder Collaboration: Engage with cross-functional leaders across Product, Engineering, Data Science, and Analytics to assess data value opportunities and prioritise initiatives effectively.
  • Metric Mart Implementation: Lead the design and execution of a cross-domain metric mart, ensuring standardised, accessible, and actionable data insights.
  • Value Proposition Development: Partner with stakeholders to identify and articulate the commercial and strategic benefits of data insight products, optimising their impact across the organisation.
  • Investment Advocacy: Drive prioritisation of key investments within Insight & Analytics, influencing the direction of Data Engineering, Business Intelligence, and Analytics.
  • Project Leadership & Execution: Lead the development and delivery of key data initiatives, ensuring efficient execution through agile methodologies and a structured roadmap.
  • Stakeholder Communication & Engagement: Maintain transparency in roadmaps, strategy, and execution plans, ensuring continuous alignment across all levels.
  • Outcome Ownership: Define and track the success of Insight & Analytics initiatives using OKRs and product scorecards, ensuring continuous improvement and evolution of data products.
  • Continuous Improvement: Conduct retrospectives on key deliverables to extract learnings and refine future strategies.


Key Skills & Experience:

  • Proven experience as a Principal Data Product Manager or similar role within a data-driven environment.
  • Strong background in Business Intelligence, Data Analytics, and Data Science.
  • Experience in developing BI tooling, dashboards, and data platforms.
  • Excellent understanding of metric marts and data governance frameworks.
  • Strong stakeholder management and the ability to influence and communicate effectively at all levels.
  • Experience working in an agile environment, driving high-impact data initiatives.
  • Passion for data-driven decision-making and an ability to translate complex datasets into actionable insights.
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.