Insurance AI Delivery Lead: Transformation & Delivery

Caraffi

Greater London

On-site

GBP 110,000 - 140,000

Full time

5 days ago
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Job summary

Caraffi is seeking an experienced AI Delivery Lead to oversee the successful implementation of AI programmes across a growing insurance organisation. You will bridge the gap between business strategy and technical execution, ensuring AI initiatives move from concept to production while delivering measurable operational and financial benefits.

The role involves working closely with claims, underwriting, operations, technology and data teams to deliver multiple AI workstreams and drive adoption

Qualifications

  • Strong programme or project delivery background within insurance.
  • Experience delivering AI, data or automation initiatives within insurance.
  • Insurance industry experience.
  • Ability to translate business requirements into actionable delivery plans.
  • Experience managing complex cross-functional programmes.

Responsibilities

  • Lead end-to-end delivery of AI transformation programmes within large scale insurance companies.
  • Manage AI project portfolios and delivery roadmaps.
  • Coordinate internal teams, vendors and consulting partners.
  • Ensure projects are delivered on time and within budget.
  • Define delivery metrics and business outcomes.
  • Manage programme risks and dependencies.
  • Support AI adoption and change management activities.
  • Communicate progress to senior leadership.

Skills

Delivery leadership
Programme management
Cross-functional collaboration
Stakeholder communication
Change management

Job description

Caraffi is seeking an experienced AI Delivery Lead to oversee the successful implementation of AI programmes across a growing insurance organisation. You will bridge the gap between business strategy and technical execution, ensuring AI initiatives move from concept to production while delivering measurable operational and financial benefits.

The role involves working closely with claims, underwriting, operations, technology and data teams to deliver multiple AI workstreams and drive adoption

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