AI Enablement Manager
Job Summary
A LITTLE INFORMATION ABOUT US!
FoodsConnected 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.
Were always keen to welcome talented individuals to join our expanding team. So if youre 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 were looking for you!
IS THIS SOMETHING THAT INTERESTS YOU
Werebuilding an AI Enablement capability to drive meaningful responsible AI adoption across the organisation.Thisrole sits at the centre of making AI enablement work in practice.Youllbe the person who gets into the detail with business teams understands what theyactually need works outwhatsfeasible and helps bring the right solutions to life responsibly and with proper governance.
Itsa role thatrequiresrangeand adaptability. On any given week you might befacilitatinga discovery workshop with a department head assessing a vendors 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 somethinguseful whetherthatsa recommendation a risk flag a training session or a structured opportunity assessment.
The role will require someone who hasoperatedin versatile environments- such asconsulting business transformation or similar roles whereyouvehad to get up to speed quickly work across organisational boundaries and deliver clear thinking under pressure.Youllwork 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 Connectedto drive efficiency.
RESPONSIBILITIES:
Opportunity Discovery Problem Framing & Capability Building
- Work directly with business teams toidentifywhere 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 theyactually needrather than just taking the brief at face value and assess whether it isfeasiblegiven 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 workshopsKnowledgesharingandtraining 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
Qualification & Benefits Tracking
- 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 toestablishbaselines before implementation and agree what success looks like for each initiative
- Track whether expected benefits materialise post-implementation time saved error rates adoption targets or other agreed measures
- Translate outcomes into business terms and present a clear picture of where value is andisntbeing delivered
- Contribute to reporting on AI enablement progress across the organisation
- Ensure learnings from each project are captured and feed into future decisions rather thanremainingsiloed
- Work closely with the compliance team toon AI Governance and Risk Assessment measures and mechanisms
Market Awareness Vendor Engagement & Pilot Assessment
- Maintain a working understanding of the AI landscape whatsavailablewhatsmaturing andwhatsrelevant to FoodsConnectedscontext
- Engage directly with vendors asking the right questions and assessing whetherwhatsbeing offered genuinely fits the problem at hand
- Structure and run pilot assessments defining success criteria data collection requirements and evaluation approach upfront
- Produce clear recommendations at the end of each assessment with supporting rationale
- Apply consistent evaluation discipline rather than defaulting to the most visible tools in the market
Systems Knowledge & Internal Tooling
- Develop andmaintaina working understanding of FoodsConnectedsbusiness systems and how they connectsuch asGong HubSpot ClaudeKantata
- Identifywhere AI can sensibly be layered into existing tools and workflows
- Understand how enterprise systems talk to each other where access controls matter and what the practical limits of integration look like and use that understanding to hold informed conversations with technical teams and relay automation agent and integration requirements in a way that AI Enablement Engineers can act on
Implementation Support & Cross-functional Execution
- Support the execution of approved AI initiatives alongside Change and Transformation colleagues and AI Enablement Engineers
- Help design pilots coordinate rollout and track progress against agreed milestones
- Support training and onboarding to ensure users are set up to succeed with new tools
- Gather and synthesise feedback during and after implementation to inform iteration decisions
- Act as the connective tissue between business teams technical delivery and the governance process
EXPERIENCE AND QUALIFICATIONS:
To perform this job successfully the AI Enablement Manager should have experience with:
Minimum Qualifications & Experience
- Bachelors degreeor equivalent experiencein Business Technology Information Systems or a related field.
- A background that has required working across multiple teams and functions adapting quickly to new contexts and delivering clear output under pressure consulting business transformation or similar environments are a strong fit
- Experiencefacilitating workshops training sessions or discovery sessions with non-technical stakeholders comfortable being the person at the front of the room
- Some experience qualifying opportunities or tracking benefits whether formally (business cases ROI models) or in practice (measuring outcomes reporting on what changed)
- Practical exposure to business systems CRMs project management tools or similar platforms in a professional context
- Hands-on experience with AI tools whether thats LLMs like Claude ChatGPT or Copilot AI note-takers like Gong or automation platforms
- Familiarity with permissioning data access controls or how enterprise system integrations work
- Experience supporting or contributing to a governance compliance or risk process
- Relevant certifications in business analysis project management or AI
BENEFITS:
- Competitive Base Salary
- Generous Holiday Package - 25 Days 10 Public Holidays
- Private Medical Dental & Vision
- Employee Wellness Program and Classes
- Flexible model of hybrid working
Required Experience:
Manager
About Company
Streamline your food supply chain with Foods Connected tools for compliance, food safety, compliance, and more - all on one platform.