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

Nominate & Attend

Group Product Manager - Data, AI and ML

Sainsbury's
6 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineering Manager

Data Engineer - Reigate

Unity & C# Prototype Engineer

Senior Full Stack Developer

Data Scientist – Data Science Analytics and Enablement (DSAE)

Staff Data Scientist, Applied AI London

Sainsbury's is embarking on an exciting journey of technological investment and innovation. With significant funding, we are enhancing our capabilities to lead in data management, analytics, and platform development. Our focus is on delivering high-quality data solutions that empower our customers and end users to make informed decisions and achieve our business objectives. We are proud to boast one of the most compelling data sets in the country, leveraging insights to build scalable, high-performance products that enhance customer experiences. In our inclusive and agile environment, you will have the opportunity to be curious, experiment, and tackle real-world challenges together with your colleagues, witnessing the impact of your work on hundreds of colleagues or millions of customers across the UK.

We are seeking a talented and experienced Data Platform Product Manager to lead a diverse team of Product Managers. We welcome applicants who bring expertise in advanced data capabilities and a proven track record in leadership roles within the data domain. In this pivotal position, you will define and execute a strategic vision for Sainsbury's data ecosystem-encompassing ingestion, storage, data dictionaries, automation tools-to support data engineers, data scientists, and analytics use cases effectively.

Your role will involve close collaboration with engineering teams and data scientists, supporting senior stakeholders, and working alongside cross-functional groups while fostering a community spirit within Sainsbury's. You should demonstrate strong interpersonal skills that enable you to understand various perspectives, together driving towards successful implementation of data platforms that align with our business goals.

If you are passionate about supporting innovation through collaboration and eager to make a meaningful impact, we would love to understand how you can contribute.

What I need to know:

You're a dab hand at data- you understand how it can be used to influence decisions and, extra points if you've worked with it before for example managing data capabilities, AI or ML products and platforms.

You understand agile deliveryand modern engineering practices, having worked directly with engineers, architects, and third parties, building real software.

You've led product teams beforeand are all over day-to-day product fundamentals and are as comfortable in the detail as with the bigger picture. More than that, you help coach and lead your direct reports to step on and expand their product toolkit.

You can land messages clearlyto stakeholders at all levels generating energy and driving consensus even when we're having to make tough decisions.

You'll support the strategy and develop specific roadmapsand backlogs for products, building in complete end to end customer experiences that deliver on agreed product metrics (OKRs)

Accountable for end-to-end delivery in Product Managementfor specific products with associated benefit/investment cases, ensuring activity is prioritised in line with the agreed product goals and metrics.

You'll work closely and in collaborationwith engineering, data scientist, architects and experience design to deliver outcomes, arbitrating conflicting priorities and influencing across teams. Spearheading the collective coaching effort within product and the wider business.

Lead the collaborationwithin both the core family team, other product teams and 3rd parties to launch new product features, maximising re-use across the business.

Evaluation of potential partner relationships; helping to identify necessary and/or desirable third-party technology to evaluate and select vendors.

You'll support the communication and resolutionof live product incidents and effectively prioritise, coordinate and communicate the resolution of production issues.

What I need to show:

You're a people person.you'll build, lead, coach and motivate a team of Associate / Product / Senior Product Managers delivering a group of related products in partnership with multiple engineering squads; support them with definition of their product goals and ruthlessly prioritise to deliver on our commitments, guiding their focus as they build a vision and actionable backlog with associated benefit/investment cases.

Pragmatism, resilience and proactivity- there's lots to do to get under the skin of in Data AI and ML Capabilities, lots of teams to work with and opportunities to improve how we managed and handle data to support our business aspirations and automations. You need to be a self-starter to push ahead and bring the teams with you, holding people to account and building productive relationships internally and externally.

You're dedicated to valuebalancing the customer, the tech and the and can articulate a compelling vision and goals for a group of products.

You are technically curious.You keep your finger on the pulse of what's going on in the industry and are aware of key trends influencing sustainability and your team's group of products.

You want to get stuck into our product community driving it forward and continuously, focusing on growing those around you, whilst continuously developing yourself.

Obsessed with the customeryou can create compelling strategies to improve and champion our customer experience and know how to prioritise and deliver on our outcomes.

#LI-KF1

We are committed to being a truly inclusive retailer, so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them:

Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury's every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 20% of salary, depending on how we perform.

Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme, you will also be eligible for private healthcare too.

Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave.

Please seewww.sainsburys.jobsfor a range of our benefits (note, length of service and eligibility criteria may apply).

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.