Technical Product Manager - Data Science

Location: Hybrid - Birmingham (with some travel to customer sites)

We care deeply about inclusive working practices and diverse teams. If you’d prefer to work part-time or as a job-share, we’ll facilitate this wherever we can – whether to help you meet other commitments or to help you strike a great work-life balance.

Closing date: 14th November

BookFlowGo is the collective brand bringing three companies in the Holiday Extras Group together;

• Book / Parkspace; the world's leading pre-book, omni-channel platform. Grow bookings, grow revenue, and deliver best-in-class eCommerce functionality.
• Flow / ParkIT; the world's leading logistic operational software and consultancy services to review product mix, deliver operational excellence and grow capacity.
• Go / FGS; the leading manufacturer of bespoke self-service hardware; reducing operating costs and maximising customer throughput.

We’re ParkIT - a software house dedicated to improving the way the world moves. Our Dynamic Allocation Services (DAS) product helps airports and operators make smarter, data-driven decisions about vehicle movement, unlocking efficiency at scale.

We’re now hiring a Technical Product Manager - Data Science to take ownership of the algorithms, data optimisation and decision engine that is at the heart of DAS. This role blends mathematical problem-solving, product management, and technical leadership. You’ll play a pivotal part in shaping how DAS evolves, ensuring the product continues to deliver real-world, measurable value to our customers.

This role blends deep data science fluency with product ownership - you’ll spend most of your time applying data science, analytical and modelling principles to solve real operational challenges, while also driving the product vision and roadmap. The role leans strongly toward data science, with a focus on translating insights into product decisions.

By joining our team, you’ll:

• Act as the technical thought leader for DAS, applying mathematics and optimisation to solve complex operational challenges.
• Design, refine, and document new algorithms that power DAS, ensuring they are scalable, accurate, and commercially valuable.
• Define KPIs and performance measures, building evidence that enhancements deliver measurable results in live environments.
• Translate complex allocation logic into clear product requirements and work packages for the engineering teams.
• Oversee the operationalisation of algorithms - ensuring they are implemented correctly, tested thoroughly, and deployed with confidence.
• Act as DAS’s technical ambassador with customers, supporting onboarding, implementation, and showing how DAS can solve their planning and analytical needs.
• Collaborate with the Customer, Software Engineering and Project Management teams to ensure the successful implementation of the product backlog, product roadmap and strategic direction of DAS.
• This role requires a balance of both technical data science and product management, ensuring we deliver our strategic product roadmap for DAS. 

We know your time is precious, so we keep our recruitment process as quick and easy as possible. If we believe you might be a match for a job you’ve applied for, you’ll enter our hiring process as follows:

• A short intro call - a chance to say hello, learn more about you and for you to ask any questions
• Presentation task & Interview with our hiring team - skills and competency-based questions to learn about what you can bring to the role along with a presentation task designed to reflect the main aspects of the role.
• Final Interview - A chance to meet senior members of the team and discuss more in-depth, technical aspects.

Cultivating a diverse and inclusive culture is paramount for us. 

Recognising we are all different, if for whatever reason you need us to adapt the process, please get in touch via [email protected].

• A strong academic background in Mathematics, Data Science, or Optimisation (degree level or equivalent).
• Practical knowledge of Python and experience working with data models
• Proven ability to design, improve, and measure algorithms, with a structured approach to defining KPIs and demonstrating success.
• Familiarity with decision-support systems, simulations, or optimisation engines.
• Experience with Agile product delivery (backlog management, user stories, sprint planning).
• Excellent communication skills, able to simplify and present complex ideas to both technical and non-technical audiences.
• A collaborative and pragmatic approach - thriving in a cross-functional environment where theory must translate into practice.

As part of the Holiday Extras Group, we’re creating a workplace where everyone can thrive, build their careers and reach their limitless potential. By joining our team, you can enjoy a world of benefits to enhance your lifestyle and well-being. We want you to feel supported and rewarded every day.

• Time is precious: 25 days annual leave (+BH’s), extra holidays through Holiday Buy, Birthday Day Off, and Sabbaticals at each milestone. 
• Parental Leave: Enhanced parental leave - Up to 1 year off, including 13 weeks at 100% pay, 13 weeks at 50% pay
• Road to well-being: Access to Gym Discounts, Private Dental Insurance and Private Medical Insurance (after 4 years)
• Celebrate success together: Enjoy a Profit Share Bonus and a pension scheme with Aviva.
• Good for the soul: Join our Social Club for 25% off any ticket or event in the UK, Discounts on the latest tech, or give back to your community with our Volunteering Scheme. 
• Plan ahead: Income protection, Critical illness cover and Life assurance