Head of Tech & AI - Americas & Chief Client Office

AXA XL is an Equal Opportunity Employer.

Locations: US

AXA XL’s Head of Technology & AI, Americas and Chief Client Office is a key senior executive, leadership team role in the Technology & AI function, accountable for acting as the strategic technology and AI partner to deliver for the Americas and the Chief Client Office leadership teams, in cooperation with the Tech & AI organization.

The role ensures business strategy is translated into a coherent technology and AI roadmaps, aligning investment, engineering capacity, operating model change, and measurable outcomes. This leader shapes demand, challenges priorities, drives decision-making, and ensures delivery accountability within the Technology & AI function for the Americas and the Chief Client Office.

Operating as a trusted executive partner, balancing innovation with value, risk, regulatory requirements, and operational resilience, this role reports to AXA XL’s Chief Technology & AI Officer with a dotted line to the Chief Executive Officer, Americas
.

• Act as the primary technology and AI partner to the Americas and the Chief Client Office shaping business direction through technology-led opportunities.
• Provide insights on AI disruption, competitor landscape, and modern digital and AI business models relevant to insurance.
• Translate complex technology concepts into commercial and operational implications for executive decision-making.

• Convert business strategy into a prioritized and funded technology and AI roadmap.
• Define the sequencing of initiatives based on value, feasibility, regulatory constraints, and delivery capacity.
• Ensure roadmaps integrate digital, data, AI, automation, and core platform modernization.
• Drive robust partnerships within the Tech & AI leadership team to ensure common principles, frameworks and guidelines are deployed and executed with effective coordination across all disciplines in the function.

• Represent the Americas and the Client Office into enterprise technology investment forums.
• Own business unit-level investment cases, ensuring clarity of ROI, outcomes, and measurable benefits.
• Challenge the business on value definition and ensure initiatives meet enterprise architecture, security, and AI governance requirements.

• Own the technology and AI portfolio for the Americas and the Client Office, ensuring delivery performance, dependencies, and risks are actively managed.
• Hold delivery teams accountable for execution outcomes while ensuring the business fulfils its accountabilities (SMEs, process change, adoption).
• Provide clear reporting to Global Leadership Team partner(s) on delivery confidence, risks, financial position, and benefits tracking.

• Challenging and influencing senior stakeholders with poise and composure, facilitating decision-making forums, resolving prioritization conflicts and driving outcomes.
• Build alignment across business functions including underwriting, claims, pricing, finance, customer operations, and distribution.

• Drive enterprise AI adoption within the business unit, ensuring:
  • high-value use cases are identified
  • adoption and operating model impacts are planned
  • workforce readiness is supported
  • human-in-the-loop and control frameworks are implemented
• Ensure AI is embedded into workflows rather than delivered as standalone tools.

• Partner with Risk, Compliance, Legal, and Security to ensure delivery aligns to regulatory and control requirements.
• Ensure AI initiatives comply with Responsible AI, privacy, and model risk expectations.
• Ensure technology resilience and service continuity risks are visible and actively managed.

• Partner with Procurement and Technology leadership to shape vendor strategy aligned to business unit priorities.
• Support contract negotiations, supplier performance management, and strategic partnerships.
• Ensure commercial outcomes align to delivery outcomes and service performance.

• Keen understanding of business strategy, financial drivers, and operational performance levers.
• Able to challenge executives constructively and influence investment decisions.

• Keen understanding of enterprise technology including:
  • product engineering and agile delivery
  • cloud platforms and modern architecture
  • data platforms and AI enablement
  • automation and workflow transformation
• Outstanding ability to evaluate AI opportunities pragmatically (value, feasibility, risk).

• Excellent portfolio and program oversight capability.
• Ability to balance competing priorities, resource constraints, and dependencies.
• Robust governance, reporting, and delivery confidence management.