National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Product Manager

Warwick
4 weeks ago
Applications closed

Related Jobs

View all jobs

Data Analyst - Product

Technical Product Manager - Data Platform

Product Data Analyst

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Hometrack

Job Title: Data Product Manager
Location: Warwick/Hybrid
Contract: 6 Months

Are you passionate about data and its potential to transform the utilities industry? Do you have a knack for understanding data needs and translating them into impactful products? If so, we want you to be a key player in our client's mission to harness the power of data!

About the Role:
As a Data Product Manager, you will be at the forefront of shaping the data product landscape within our client's organisation. This 6-month contract role involves close collaboration with stakeholders across network operations, ensuring that data strategies are aligned with business objectives. Your insights will help pave the way for a smooth transition to a permanent Data Product Manager.

Key Responsibilities:

Stakeholder Engagement: Work hand-in-hand with various stakeholders to gather and document data requirements and expectations. Your ability to connect and communicate will be essential!
Needs Assessment: Dive deep into current data capabilities to identify gaps and recommend improvements that will elevate our client's data initiatives.
Product Strategy Development: Craft a strategic roadmap for data products that not only aligns with business goals but also meets the needs of stakeholders.
Advisory Role: Share your expertise to provide insights on the type of permanent roles needed to support ongoing data initiatives.
Preparation for Transition: Establish robust processes and frameworks to ensure a seamless transition to the new permanent Data Product Manager.
Data Governance: Uphold data management practises that comply with organisational standards and regulatory requirements.
Performance Metrics: Define and track key performance indicators (KPIs) to measure the success of data products and initiatives, ensuring accountability and continuous improvement.

What We're Looking For:

Proven experience in data science and managing AI or data products.
Strong understanding of stakeholder engagement and the ability to assess data needs effectively.
Excellent communication skills, with the ability to present complex data concepts in a clear and engaging manner.
A strategic mindset with a passion for data governance and performance measurement.

If you are enthusiastic about data and ready to take on a new challenge in a full-time capacity, we want to hear from you! Take the next step in your career and help shape the data landscape in the utilities industry.

Ready to make a difference? Submit your CV and a cover letter highlighting your relevant experience and passion for data product management. Applications will be reviewed on a rolling basis, so don't wait!

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. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.