At a Glance
- Tasks: Lead the vision and delivery of enterprise data products for critical infrastructure.
- Company: Major UK organisation focused on asset management and digital transformation.
- Benefits: Hybrid working, competitive contract, and impactful projects.
- Other info: Opportunity to work on high-profile programmes with significant impact.
- Why this job: Shape data solutions that enhance decision-making and asset performance.
- Qualifications: Experience in Technical Product Management and stakeholder engagement.
The predicted salary is between 50000 - 65000 £ per year.
We're recruiting for an experienced Technical Product Manager to join the Asset Data Domain within the Chief Data Office (CDO), part of the IT & Digital function of a major UK critical infrastructure organisation. This is an opportunity to shape enterprise data and analytics products that support engineering, asset management and strategic decision-making across one of the UK's largest asset portfolios.
What You'll Be Doing
- You'll own the vision, roadmap and delivery of enterprise data products, working closely with business leaders, engineering teams and technology specialists to deliver solutions that improve asset performance and decision-making.
- Key programmes include:
- Developing data and analytics products that support asset risk management with the Group Engineering function.
- Shaping how Operational Technology (OT) data is utilised to unlock greater operational insight and business value.
- Defining product roadmaps, investment priorities, business cases and delivery plans.
- Working with Technical Leads and Programme Managers to shape product strategy, resource requirements and successful delivery.
- Leading stakeholder engagement across engineering, asset management, data and IT.
About You
You'll be an experienced Technical Product Manager (or Data Product Manager/Product Owner) with experience delivering enterprise digital or data products within complex organisations. You'll have:
- Strong Technical Product Management experience.
- Knowledge of asset management and the asset lifecycle within an asset-intensive industry.
- Experience developing product roadmaps, managing backlogs and translating business requirements into product outcomes.
- Excellent stakeholder management and communication skills, with the ability to influence senior business leaders and technical teams.
- A collaborative approach and the confidence to operate across business and technology functions.
Technical Knowledge
This isn't a hands-on technical role, but you'll be comfortable engaging with architects and engineering teams. Experience or familiarity with the following is highly desirable:
- Microsoft Azure
- Snowflake
- Cloud and hyperscale platforms
- Data products, analytics and AI-enabled solutions
- Operational Technology (OT) data
- Enterprise data architecture and governance
Why Apply?
- Strategic product ownership within the Chief Data Office.
- Opportunity to shape enterprise data and analytics products supporting critical infrastructure.
- Work across high-profile programmes focused on asset risk, engineering data and digital transformation.
- Predominantly remote working with one day per week in Warwick.
- Initial six-month contract with the opportunity to make a significant impact on enterprise data capabilities.
TO APPLY - PLEASE APPLY WITH AN UP-TO-DATE CV
Candidates will ideally show evidence of the above in their CV in order to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Technical Product Manager employer: Pontoon
Pontoon is an excellent employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of London. With flexible working arrangements and a strong emphasis on professional development, employees are empowered to grow their skills while contributing to innovative AI-driven solutions in the banking sector. Join us to be part of a team that values your input and encourages meaningful contributions to customer experiences.
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We think this is how you could land Technical Product Manager
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We think you need these skills to ace Technical Product Manager
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Pontoon, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Pontoon, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at Pontoon
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For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Pontoon.
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You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Pontoon.
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