Technology & AI Strategy Lead

About the role

AXIS Capital is a trusted global provider of specialty lines insurance and reinsurance, distinguished by outstanding client service, intelligent risk taking, superior risk‑adjusted returns, and an entrepreneurial, disciplined, ethical culture. The Technology & AI Strategy Lead shapes, maintains, and drives execution of the enterprise technology and AI agenda in partnership with business, technology, data, risk, and functional leaders. The role owns the integrated strategic agenda, enterprise‑level recommendations, strategic coherence, value framework, and executive decision support — it does not own delivery of individual products or programs. Success requires strong business acumen, strategic thinking, stakeholder engagement, and the ability to translate complex technology concepts into practical business implications and measurable outcomes.

Requires close partnership with business, technology, transformation, risk, and functional teams. Success depends on expertise, influence, relationship building, strategic judgment, and the ability to navigate complex business challenges. Regular participation in planning sessions, strategy reviews, governance forums, and leadership communications. Operates within established enterprise governance frameworks and provides recommendations and guidance to support decision making. Works independently on complex assignments requiring assessment of multiple business, technology, operational, and risk considerations. Planning horizon is primarily annual and aligned with strategic planning and investment cycles.

Responsibilities

• Technology & AI Strategy
  • Support the development and refinement of the technology and AI strategy aligned with enterprise and business objectives.
  • Partner with business and functional leaders to identify opportunities where technology and AI can improve business performance, operational effectiveness, and customer outcomes.
  • Analyze emerging technology and AI trends, market developments, and vendor capabilities to inform strategic recommendations.
  • Assess opportunities to improve engineering effectiveness, delivery consistency, automation, and modernization efforts.
  • Consider responsible AI, data governance, cybersecurity, privacy, operational resilience, and regulatory requirements when developing recommendations and strategic assessments.
• Portfolio Prioritization & Strategic Coherence
  • Support the development and maintenance of technology and AI roadmaps aligned to business objectives and transformation priorities.
  • Evaluate proposed initiatives and business cases against strategic goals, resource capacity, risk considerations, and organizational readiness.
  • Identify dependencies, opportunities for alignment, and potential conflicts across initiatives and programs.
  • Develop analysis and recommendations to support planning, prioritization, and investment discussions.
  • Contribute strategic insights that help leaders evaluate business needs, risks, costs, and expected value.
• Execution Discipline & Value Realization
  • Develop and challenge value frameworks to evaluate expected business value and measure outcomes from technology and AI initiatives.
  • Analyze initiative progress, adoption trends, risks, and dependencies and provide insights to stakeholders, including any needed course corrections.
  • Identify lessons learned and opportunities to scale successful practices and capabilities.
  • Refresh the enterprise roadmap and investment recommendations based on delivery evidence, realized outcomes, emerging risks, and organizational learning.
  • Prepare strategic analyses, presentations, and recommendations for executive team.
• Stakeholder Engagement & Change Enablement
  • Develop strategies to drive adoption of technology and AI‑enabled capabilities across the enterprise.
  • Build collaborative relationships across business, technology, data, finance, risk, and transformation teams.
  • Facilitate workshops, planning sessions, and stakeholder discussions related to technology and AI priorities.
  • Develop clear, business‑focused communications and presentations that help leaders understand strategic opportunities and implications.
  • Support initiatives that improve organizational understanding and adoption of technology and AI capabilities.
  • Identify barriers to adoption and recommend actions that support successful organizational change.
• Cross‑Functional Collaboration
  • Support cross‑functional strategic initiatives through influence, coordination, and collaboration.
  • Serve as a trusted advisor on technology and AI strategy‑related matters.
  • Contribute subject matter expertise and analysis to governance and planning discussions.
  • Help stakeholders evaluate opportunities, risks, implementation considerations, and long‑term implications of strategic initiatives.

Requirements

• Significant experience in technology strategy, digital transformation, AI enablement, business transformation, management consulting, or a related field.
• Strong understanding of technology, data, and AI concepts and their application to business problems.
• Demonstrated ability to analyze complex issues and develop practical, value‑focused recommendations.
• Experience evaluating business cases