Principal Data Product Manager – Insight & Analytics

Trainline
London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Manager - Clara Data Science

Principal Data Scientist

UNPAID VOLUNTEER - Principal/Senior Technology Officer (Artificial Intelligence)

Senior Manager - Clara Data Science

Senior Manager - Clara Data Science

Senior Manager - Clara Data Science

Job Description

Most of our Talent team are currently on leave for the holiday period, so your application is likely to be reviewed in January. Enjoy the break, we’ll get back to you in the new year! 

 Principal Data Product Manager London (Hybrid, 40% in office)  £Salary + Bonus + Shares + Benefits  

Introducing the Data team at Trainline  

At Trainline, data is at the heart of our operations. Our vision is to empower a data-driven environment where every business decision is backed by easily accessible insights, leveraging the latest in BI tooling and advanced analytics techniques. Through value-driven Data Insight and Analytics products, we enable smarter, faster, and more strategic decision-making across the company. Our Data team is equipped with extensive experience and a broad spectrum of skills, covering areas such as Data Platform management, Data Engineering, Business Intelligence, and Data Science, all crucial for our data enabled value delivery. Our operating model embeds data delivery teams within each strategic theme at the company level. This integration ensures data is central to achieving our objectives and outcomes. 

As a Principal Data Product Manager – Data Insight and Analytics, you will lead the development of impactful insight products, including a robust suite of BI dashboards and a cross-functional metric mart that delivers consistent, actionable metrics across all business domains. You will shape the vision for BI products, tooling, and accessibility, streamlining the time, cost, and expertise needed to generate insights. Central to this vision, the metric mart will enhance data team velocity and minimise risk through reusability, delivering greater cost and time efficiency across the organisation. 

Partnering closely with leaders in Product, Engineering, Data Science and Analytics, you will define a strategic roadmap for data insights that aligns with Trainline’s business objectives, advocating for high-impact initiatives and fostering continuous improvement. You will play a critical role in implementing agile methodologies to maximise the impact and value of our data products. 

Working closely with the delivery leads and data delivery teams, you will manage significant projects, deeply exploring solution options to maximising customer impact through Insight. Together with your team, you'll devise and implement detailed plans with clear milestones for monitoring progress and adapting strategies as necessary. 

In our autonomous environment, as a Principal Data Product Manager, your influence and impact will be substantial. Your leadership will be crucial in pioneering innovations and integrating high-value Insight Data Products, thus playing a vital role in our growth strategy, guiding execution, and promoting a culture of continuous learning in data products.  

As a Principal Data Product Manager at Trainline, you will... 

  • Strategic Vision:Develop and champion a strategic vision for Insight and Analytics products that aligns with Trainline’s mission to drive efficient, data-driven decisions. Guided by industry trends, competitive insights, and company growth objectives, implement tooling solutions and data products that reduce cost, time-to-insight and enable actionable insights across all levels.  
  • Stakeholder collaboration:Lead on stakeholder collaboration, guiding strategic discussions and decisions to assess data value opportunities, focusing on effort estimation, capacity planning, and prioritization to align with organisational goals.   
  • Metric Mart Implementation:Oversee the design, deployment, and actualisation of a cross-domain metric mart that spans all business domains, ensuring comprehensive, consistent, and accessible data insights to support decision-making across the company. This includes establishing table design, selecting and defining key metrics, and implementing governance frameworks to maintain accuracy and consistency across data insights assets. 
  • Value Proposition Development:Partner with business stakeholders to craft compelling value propositions for insight and analytics initiatives. Clearly identify commercial, growth, and strategic benefits, with a focus on optimising data insight products and tools to support all areas of the business. 
  • Investment Advocacy:Advocate for and prioritise key investments within the Insight and Analytics domain, playing a central role in data planning cycles. Influence the strategic direction of Data Engineering, Business Intelligence, and Analytics to maximise resource allocation and impact.  
  • Project Leadership and Execution:As a leader, you will deliver data initiatives through efficient project execution, guided by a clear and visible execution roadmap that emphasises agile value delivery milestones. Lead cross-functional collaborations beyond your immediate scope, thereby strengthening stakeholder trust through effective leadership. 
  • Stakeholder Communication and Engagement:Ensure continuous, transparent communication across all stakeholder levels, aligning on roadmaps, strategy, and project execution. Manage tactical adjustments and strategic decisions effectively throughout delivery phases. 
  • Outcome Ownership:Own and evaluate the performance of Insight and Analytics products, using frameworks such as OKRs and product scorecards. Analyse the real-world impact of deliverables, providing data-driven guidance for future prioritization and enhancements. 
  • Continuous Improvement:Conduct periodic retrospectives on key deliverables to extract learnings for future planning.  


Qualifications

We'd love to hear from you if you have ... 

  • University degree or equivalent, preferably in a quantitative field (such as economics, mathematics, engineering, finance etc.) 
  • Minimum of 7 years in senior roles within data or technical product teams, with a strong focus on BI strategy, data analytics, and insight products.  
  • Proven experience or substantial exposure to data analytics and BI product development, with a strong passion for leveraging advanced analytics and data insights to drive business growth and innovation. 
  • Proven experience in data engineering concepts, ensuring a solid understanding of data architecture, data modelling and design, ETL processes, and data pipeline development. 
  • Exceptional communication skills, with the ability to distil complex concepts and influence strategic directions at all levels, including senior management. 
  • Extensive experience in evaluating, measuring and communicating data product success and value delivery.  
  • Extensive and proven experience using SQL to work with data  
  • Excellent Excel skills; good PowerPoint skills 
  • Experience of working with modern data platforms and technologies. 
  • Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) 

The interview process  

  1. Recruiter Call (30 mins)
  2. 1st stage interview with Hiring Manager (45mins)
  3. 2 x 30 mins 2nd stage interviews 
  4. Final stage case study (1 hour)



Additional Information

Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, extra festive time off, and excellent family-friendly benefits.

We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one!

Our values represent the things that matter most to us and what we live and breathe every day, in everything we do:

  •  Think Big - We're building the future of rail
  • ✔️ Own It - We focus on every customer, partner and journey
  • Travel Together - We're one team
  • ♻️ Do Good - We make a positive impact

Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedInInstagram and Glassdoor.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.

AI Summit London 2025: A Complete Guide for UK AI Engineers & Recruiters

Artificial intelligence may be a border-less technology, but every ecosystem needs a beating heart where the community meets face-to-face. For the British Isles that heart is The AI Summit London, the headline AI event of London Tech Week, returning to Tobacco Dock on 11–12 June 2025. With eight content stages, 4 500+ attendees and 300 speakers spanning government, FTSE-100 giants and rocket-ship start-ups, the Summit offers a year’s worth of insight, deal-making and career acceleration in just 48 hours. Whether you are an AI engineer optimising vector databases, a data scientist pivoting into prompt ops, or a hiring manager scouring the market for talent, this handbook distils everything you need to hit the ground running—from ticket tactics and agenda highlights to networking hacks and post-event ROI.