🎄 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.  

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)