Program Manager, AI Adoption & Initiatives
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-07-10
Listing for:
Corpay
Full Time
position Listed on 2026-07-10
Job specializations:
-
IT/Tech
AI Business & Operations, Change Management, IT Business Analyst, IT Project Manager
Job Description & How to Apply Below
Program Manager, AI Adoption & Initiatives
Location: London, Victoria
Salary: Competitive salary (depending on experience) + bonus
Responsibilities- Drive AI Adoption Across the Business
- Build and run AI adoption programmes across Sales, Operations, Finance, Credit, Marketing, and other business functions.
- Design and deliver training, office hours, playbooks, communications, and enablement materials.
- Establish and manage an AI champions network across departments to share best practices, identify use cases, and support local adoption.
- Promote practical and responsible day‑to‑day use of AI tools that improve productivity, decision‑making, customer outcomes, and operational efficiency.
- Manage AI Use Cases and Business Initiatives
- Partner with business teams to identify, define, and prioritise high‑value AI opportunities.
- Lead specific AI initiatives from discovery and business case through to pilot, delivery, rollout, adoption, and benefits tracking.
- Translate business requirements into clear initiative charters, success metrics, delivery plans, and stakeholder updates.
- Ensure AI solutions are embedded into business processes and deliver measurable outcomes.
- Measure Adoption and Business Impact
- Define, track, and report AI adoption KPIs, including usage, engagement, productivity impact, business outcomes, and adoption maturity.
- Build repeatable frameworks for use case intake, prioritisation, experimentation, rollout, and post‑launch measurement.
- Provide regular updates to senior stakeholders on progress, risks, adoption, and impact.
- Partner With AI, Data, Technology and Business Teams
- Work closely with internal data science, ML engineering, data engineering, analytics, technology, security, legal, and compliance teams.
- Help determine whether business needs are best met through internal AI/data solutions, existing enterprise platforms, or external vendor products.
- Support solution design by ensuring business and adoption needs, and success measures are clearly understood.
- Act as a bridge between technical teams and business stakeholders, helping both sides move from idea to practical delivery.
- Support Vendor Evaluation and Implementation
- Identify and assess external AI vendors where third‑party solutions may be appropriate.
- Coordinate vendor demos, pilots, evaluations, business cases, and implementation planning.
- Work with procurement, legal, security, technology, and business owners to support responsible vendor selection and rollout.
- Increased adoption of approved AI tools and solutions across priority business functions.
- Active AI champions network established and operating effectively.
- Clear AI adoption KPIs and reporting cadence in place.
- Strong pipeline of prioritised AI use cases linked to business value.
- Successful delivery of AI initiatives with measurable impact on productivity, revenue growth, retention, operational efficiency, or decision quality.
- Positive feedback from business stakeholders and internal AI/data teams.
The successful candidate will be a pragmatic operator who can move comfortably between strategy and execution. You will bring enough understanding of AI to ask the right questions, evaluate options, guide stakeholders, and help deliver practical solutions that create measurable business value. You will be especially strong at making AI usable for business teams: shaping the right use cases, coordinating the solution path, and driving adoption required for results to stick.
Qualifications- Experience in program management, business transformation, digital adoption, product operations, technology delivery, or AI/data initiatives.
- Track record of leading cross‑functional initiatives from problem definition through implementation and adoption.
- Strong understanding of AI, generative AI, automation, analytics, or data‑driven products.
- Experience developing KPIs, business cases, adoption dashboards, or benefits tracking frameworks.
- Experience working with business teams such as Sales, Operations, Finance, Credit, Marketing, or Customer Support.
- Strong stakeholder management skills, with the ability to work across senior leaders, business users, technical teams, and external…
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