💻 Principal Data Product Manager📍London (Hybrid, 40% in office)

Introducing the Data team at Trainline 👋 

At Trainline, we place data at the core of what we do. Our vision is to build value creating Data Products, utilising AI and ML technologies to fuel data-driven innovation for growth within our company and throughout the industry. 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 at Trainline, you will... 🚝

Work within the Global Customer Journey (a pivotal cross-functional strategic initiative) and your mission is to drive our data product investments, focusing on elevating the customer experience with smart, personalised solutions. You will harness the latest in AI and ML technology to ensure our customer offerings are not just delightful and frictionless, but also at the forefront of industry innovation as a leader of Trainline’s dedicated AI investment portfolio. 

In your capacity as Principal Data Product Manager, you will guide our data product portfolio's direction, accelerating the performance of our Data Engineering, Business Intelligence, AI, and ML teams. This role is central to forging strategic alliances with business stakeholders, capturing data-driven opportunities to boost value creation, and ensuring delivery prioritization and alignment with available resources. 

In this role, you will partner with Data Science Lead for your business cross function area to spearhead strategic discussion on our data investment strategy, demonstrating an exceptional ability to set a vision and influence senior stakeholders to buy into the vision. You will advocate for high-priority initiatives, driving a culture of continuous improvement, and applying agile methodologies to maximise the return on our investments. 

Working closely with the delivery lead for your data delivery team, you will manage significant projects, deeply exploring solution options to maximising customer impact. 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 AI and ML Data Products, thus playing a vital role in our growth strategy, guiding execution, and promoting a culture of continuous learning in data products.  

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.) 

• Proven track of delivering data driven B2C products

• Minimum of 7 years in senior roles within data or technical product teams, with a focus on strategy setting, agile methodology, and leading complex, data-driven projects. 

• Proven experience or substantial exposure to AI and ML product development, with a strong passion for using these technologies to drive business growth and innovation.  

• 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 with Product Director & Head of Machine Learning
4. Final stage case study (1 hour)