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Technology & AI Strategy Lead
Job in
Princeton, Mercer County, New Jersey, 08543, USA
Listed on 2026-10-17
Listing for:
Axis Capital
Full Time
position Listed on 2026-10-17
Job specializations:
-
IT/Tech
AI Business & Operations, IT Business Analyst -
Business
AI Business & Operations
Job Description & How to Apply Below
At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.
Job Description:
Technology and AI Strategy Lead How does this role contribute to our collective success?
AXIS is undertaking a multi-year transformation to strengthen how we operate, serve customers, and create competitive advantage. Technology and AI are important enablers of this transformation, creating opportunities to improve operational effectiveness, support business growth, and enhance customer outcomes.
The Technology & AI Strategy Lead is responsible for shaping, maintaining, and driving 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; delivery remains with the relevant business and technology owners, and business leaders remain accountable for outcomes, adoption, and benefit realization.
The role provides independent analysis, subject matter expertise, and strategic recommendations that help leadership evaluate technology and AI opportunities, risks, and trade-offs. Success requires strong business acumen, strategic thinking, stakeholder engagement, and the ability to translate complex technology concepts into practical business implications and measurable outcomes.________________________________________Key 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, included 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…
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