Technical Product Manager Data Science

Technical Product Manager - Data Science

Salary: 67189 - 83987 DOE Benefits Profit Share Bonus

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

We care deeply about inclusive working practices and diverse teams. If youd prefer to work part-time or as a job-share well 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

About

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

• Book / Parkspace; the worlds leading pre-book omni-channel platform. Grow bookings grow revenue and deliver best-in-class eCommerce functionality.
• Flow / ParkIT; the worlds 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.

Were 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.

Were 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. Youll 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 - youll 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.

The Role

By joining our team youll:

• 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 DASs 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 wedeliver our strategic product roadmap for DAS.

How we hire for this role

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 youve applied for youll 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 .

What you can bring to our team

• 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.

Why choose ParkIT

As part of the Holiday Extras Group were 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 (BHs) 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

Required Experience:

IC