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

Nominate & Attend

Product Owner - FMGC Data SAAS

Manchester
2 weeks ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Senior Solutions Architect

Data Scientist London, England

Data Science Manager

Data Science Manager

Junior Data Scientist

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
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 AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

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

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.