Product Owner - FMGC Data SAAS

London
8 months ago
Applications closed

Related Jobs

View all jobs

SAS Data Engineer

Data Engineer (SC Cleared)

Audio Machine Learning Engineer

Audio Machine Learning Engineer

Lead MLOps Engineer

Senior Machine Learning Engineer

Product Owner

Main Objectives:

  1. Define and deliver a product roadmap for existing products that aligns with customer/industry need, and set the direction for new product development

  2. Manage the product development relationship with existing technical and data partners (Retail Insight, In Touch, Retail Spotlight), or any new partners, ensuring effective and efficient delivery of service

    Skillset Required

    In this role the individual must be capable of, and be able to demonstrate experience of:

    • Product leadership – Be able to lead product strategy and development, spanning between technical partners and clients

    • Relationship Management - Building relationships and engagement with all levels of stakeholders up to board level, internally and with technical partners

    • Customer Management – Working with product operations and customer contacts to ensure they’re getting value, gather their needs, and translate those into product requirements

    • Communication – Be able to clearly articulate and communicate with customer, partner, and internal stakeholders

    • Technical product development – Have a good working understanding of product development and leading-edge technology. Proficiency in Agile methodologies and principles.

    Responsibilities

    • Define and communicate the product vision, strategy, and roadmap for EPOS analytics SaaS platforms, with a focus on integrating AI, machine learning, and image recognition technologies.

    • Collaborate with stakeholders, including retail FMCG clients, to gather and prioritize product requirements.

    • Develop and maintain a detailed product backlog, ensuring alignment with business goals and customer needs.

    • Work closely with cross-functional teams, including development, data science, and design, to deliver high-quality, innovative products on time.

    • Conduct market research and competitive analysis to inform product decisions and identify opportunities for innovation.

    • Act as the primary point of contact for all product-related inquiries and decisions.

    • Facilitate Agile ceremonies such as sprint planning, reviews, and retrospectives.

    • Monitor product performance, analyse user feedback, and drive continuous improvement initiatives.

    • Ensure compliance with industry standards and regulations relevant to the retail FMCG sector.

    Experience Required

    To be successful in this role, the individual must have experience:

    • Proven experience in product owner or similar role, preferably in the field of EPOS analytics SaaS platforms.

    • Experience within the FMCG sector, ideally with an FMCG brand, and have a working knowledge of the UK Grocery and Convenience sectors.

    • Experience working and collaborating with external development partners.

    • Extensive experience in the management of product backlogs, through to tracking releases.

    • Experience with product management tools (e.g., JIRA, Trello).

    • Experience in integrating AI, machine learning, and image recognition into product development.

    • Bachelor’s degree in Business, Computer Science, or a related field preferable

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.