AI Enablement Manager
Listed on 2026-06-11
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IT/Tech
AI Engineer (Applied/Software), Data Analyst, IT Business Analyst
Foods Connected is an award winning cloud based software platform that helps retailers and food companies across the world manage their supply chain, quality control and trading and planning management. Our software solutions are currently utilised by 10 of the largest food retailers in the world. As a team, we provide tools that help our customers manage their processes in a fast and efficient way and provide real-time visibility and reporting on what is happening in their business.
At Foods Connected, we recognise that our employees are our most important asset and we value creating a great working environment to ensure our team enjoy coming into the office every day working together and solving problems for our customers. Whether we are in the middle of a fast and intense development sprint, on a Teams call discussing our project statuses or enjoying a game of ping‑pong or pool in the office, it is important to us that our employees are happy and delivering the best possible result for our customers.
We’re always keen to welcome talented individuals to join our expanding team. So if you’re driven, with a passion for developing simple software solutions, creating great user experiences, designing scalable solutions for real business challenges and ensuring customer happiness then we’re looking for you!
IS THIS SOMETHING THAT INTERESTS YOU?We're building an AI Enablement capability to drive meaningful, responsible AI adoption across the organisation. This role sits at the centre of making AI enablement work in practice. You'll be the person who gets into the detail with business teams, understands what they actually need, works out what's feasible, and helps bring the right solutions to life, responsibly and with proper governance.
It's a role that requires range and adaptability. On any given week you might be facilitating a discovery workshop with a department head, assessing a vendor's product against a live business problem, supporting a pilot rollout, or presenting a benefits case to a senior stakeholder. The common thread is being able to move between contexts, ask the right questions, and translate what you find into something useful, whether that's a recommendation, a risk flag, a training session, or a structured opportunity assessment.
The role will require someone who has operated in versatile environments- such as consulting, business transformation, or similar roles where you've had to get up to speed quickly, work across organisational boundaries, and deliver clear thinking under pressure. You'll work closely with the Head of AI Enablement, our Change and Transformation team, and AI Enablement Engineers, contributing to a joined‑up approach to how AI gets implemented across Foods Connected to drive efficiency.
RESPONSIBILITIES:Opportunity Discovery, Problem Framing & Capability Building
- Work directly with business teams to identify where AI, automation, and data can add genuine value, through structured formats including hackathons, workshops, and discovery sessions, as well as ad hoc requests.
- Help teams articulate what they actually need rather than just taking the brief at face value, and assess whether it is feasible given technical, data, and governance constraints.
- Distil findings into clear, actionable problem statements that can be progressed through the implementation pipeline.
- Facilitate cross‑functional sessions — hackathons, process discovery workshops, Knowledge sharing and training sessions — with the ability to hold structure, draw out contributions, and leave participants with clarity on next steps.
- Deliver training on AI tools and ways of working to build literacy and confidence across the organisation.
- Maintain enough working knowledge of AI and automation capabilities to have honest, grounded conversations with business teams.
- Qualify inbound opportunities against consistent criteria, assessing feasibility, effort, risk, and potential value to ensure decisions about what to progress are evidence‑based.
- Work with stakeholders to establish baselines before implementation and agree what success looks like for each initiative.
- Track whether…
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