AI Solutions Delivery Lead
Indexed description
Department / Location - IT – Business Systems
Reports To - Head of IT – Business Systems
Why Princes?
- Competitive Salary
- 25 days Annual Leave + Bank Holidays
- A day off for your Birthday
- Flexible Holiday Option - buy 5 days holiday
- 14.5% Pension (5% Employee, 9.5% Employer) Opt-In
- Life Insurance Policy
- Private Medical Insurance
- Critical Illness Cover
- Job Purpose Responsible for identifying, shaping and delivering AI-enabled solutions that create measurable business value, with a strong focus on change enablement, adoption and operational embedment. The role bridges business needs, technology delivery and organisational change to ensure AI initiatives move successfully from idea through to sustainable day-to-day use.
- Dimensions
- Leads the end-to-end delivery and change enablement of AI use cases across multiple business domains.
- Operates across cross-functional teams, business functions and partner organisations.
- Responsible for stakeholder engagement, prioritisation, delivery governance, adoption planning and benefits realisation for AI initiatives.
- No direct line management initially, but leads delivery activity and virtual teams.
- Key Responsibilities
- Work with leaders across the business to shape and prioritise an AI roadmap aligned with our strategic goals
- Oversee project timelines, delivery milestones and stakeholder communications from idea to implementation
- Translate business problems into clear outcomes, success measures and delivery plans for AI-enabled solutions
- Lead change enablement for AI initiatives, including impact assessment, communication, training, readiness activities and adoption tracking
- Stay ahead of emerging AI tools, platforms and partner capabilities to recommend future-fit solutions
- Collaborate with internal technology teams and external partners to guide design and deployment
- Ensure solutions are embedded into operational processes, with clear ownership, support routes and ways of working
- Ensure all AI activity is compliant with company governance, policies and ethical standards
- Monitor performance of deployed solutions and recommend ongoing enhancements, ensuring continuous optimization
- Manage intake and prioritisation of AI opportunities, balancing value, feasibility, change impact and risk
- Coordinate cross-functional stakeholders to remove blockers, manage dependencies and maintain delivery momentum
- Key Relationships
- Head of IT – Business Systems
- Enterprise Architect
- Head of IT Governance, Risk & Security
- IT Delivery Managers
- Business stakeholders
- External AI vendors and partners
- Confidence working with and influencing senior stakeholders
- Strong project management capability, with a track record of delivering transformation programmes
- A strong understanding of AI concepts (machine learning, NLP, generative AI, automation) and how they’re applied to real business environments
- Experience leading delivery of digital, data, automation or AI-enabled initiatives from idea to operational adoption
- Strong change management and enablement skills (communications, training, process change, readiness and adoption measurement)
- Ability to define and track benefits, KPIs and value realisation, and to course-correct based on outcomes
- Experience working with third-party partners and managing delivery outcomes in a mixed internal/vendor model
- Awareness of governance, security, data and ethical considerations when deploying AI-enabled solutions
- Behavioural Competencies
- Delivery-focused mindset with strong ownership and follow-through
- Collaborative leadership and influencing without authority
- Clear, confident communication, able to simplify complexity for non-technical audiences
- Pragmatic problem-solving and sound judgement in ambiguous, fast-moving situations
- Customer and user-centric approach, focused on adoption and measurable outcomes
- Innovation and continuous improvement
- Hays Job Evaluation Summary (Grade 4)
- Know-how: Strong delivery leadership and change enablement capability, combined with a practical understanding of AI concepts and how to apply them to real business needs.
- Problem Solving: Shapes and delivers cross-functional AI initiatives, navigating ambiguity, stakeholder needs, operational change impacts and evolving technology options.
- Accountability: Accountable for successful end-to-end delivery, adoption and ongoing optimisation of AI solutions, ensuring governance compliance and measurable business value.
- Positioned as specialist delivery-focused role
Location Liverpool
Business Area Finance
Workplace Type Hybrid
About Princes The Princes Group has over 7,000 employees with offices and production sites in the UK, Netherlands, Italy, Poland, France and Mauritius. Princes manufactures 350 different food and drink products responsibly sourced and enjoyed by consumers every day. None of this would be possible without striving to be an employer of choice, where our colleagues are proud to represent our business.
Role Requirements
- Confidence working with and influencing senior stakeholders
- Strong project management capability, with a track record of delivering transformation programmes
- A strong understanding of AI concepts (machine learning, NLP, generative AI, automation) and how they’re applied to real business environments
- Experience leading delivery of digital, data, automation or AI-enabled initiatives from idea to operational adoption
- Strong change management and enablement skills (communications, training, process change, readiness and adoption measurement)
- Ability to define and track benefits, KPIs and value realisation, and to course-correct based on outcomes
- Experience working with third-party partners and managing delivery outcomes in a mixed internal/vendor model
- Awareness of governance, security, data and ethical considerations when deploying AI-enabled solutions
- Behavioural Competencies
- Delivery-focused mindset with strong ownership and follow-through
- Collaborative leadership and influencing without authority
- Clear, confident communication, able to simplify complexity for non-technical audiences
- Pragmatic problem-solving and sound judgement in ambiguous, fast-moving situations
- Customer and user-centric approach, focused on adoption and measurable outcomes
- Innovation and continuous improvement
- Hays Job Evaluation Summary (Grade 4)
- Know-how: Strong delivery leadership and change enablement capability, combined with a practical understanding of AI concepts and how to apply them to real business needs.
- Problem Solving: Shapes and delivers cross-functional AI initiatives, navigating ambiguity, stakeholder needs, operational change impacts and evolving technology options.
- Accountability: Accountable for successful end-to-end delivery, adoption and ongoing optimisation of AI solutions, ensuring governance compliance and measurable business value.
- Positioned as specialist delivery-focused role
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