AI Business Partner

Overview

What part will you play? If you’re looking for a place where you can make a meaningful difference, you’ve found it. The work we do at Markel gives people the confidence to move forward and seize opportunities, and you’ll find your fit amongst our global community of optimists and problem-solvers. We’re always pushing each other to go further because we believe that when we realize our potential, we can help others reach theirs.

Join us and play your part in something special!

Join the U.S. & Bermuda Center for AI Enablement to help drive enterprise-wide AI adoption  this role, you’ll partner with business leaders to identify and advance high-impact AI opportunities that improve efficiency, quality, and customer experience. You will guide teams through AI use case development, support solution selection and execution, and connect stakeholders to the right tools, resources, and delivery paths.

This role also promotes scalable, well-governed AI practices by supporting standardization, tracking outcomes, and ensuring responsible and secure use aligned to enterprise standards.

• Act as a trusted AI thought partner to U.S. & Bermuda business leaders and teams, helping them shape, prioritize, and refine AI opportunities aligned to business outcomes and clarify where AI can meaningfully improve outcomes.
• Support AI use case intake and execution by guiding business users through problem definition, refinement of use cases, and selection of appropriate tools, vendors, or delivery paths.
• Direct teams to the right AI resources, superusers, or AI build partners, ensuring timely and effective support aligned with architecture and approved platforms.
• Help showcase the art of the possible by elevating strong AI ideas, sharing success stories, and raising the bar for what “good” looks like in AI adoption.
• Facilitate structured intake and triage of AI opportunities, routing use cases to the appropriate business led or technology delivery path.
• Develop and maintain shared AI assets, including prompt libraries, use case inventories mapped to business processes, and agent tracking, to promote reuse and scale.
• Partner with business and technology stakeholders to inform buy‑versus‑build decisions, balancing speed, sustainability, and enterprise defined standards.
• Support performance management of AI agents and use cases by helping define success criteria, tracking outcomes, and contributing to review and prioritization based on measurable business value and adoption metrics.
• Promote standard patterns and scalable approaches across teams to reduce duplication, increase quality, and accelerate adoption, while avoiding tool proliferation and fragmented solutions.
• Stay current on AI technology capabilities and releases, translating emerging developments into practical, business relevant implications aligned to Markel’s technology strategy.
• Reinforce responsible and compliant AI use by embedding governance expectations, safe‑use guidance, and escalation paths into day‑to‑day enablement activities.

• 5+ years of relevant professional experience and 1-2+ years of experience using AI tools preferred.
• Bachelor's degree or equivalent work experience.
• Experience partnering with business leaders or functional teams to translate complex problems into clear, actionable opportunities, ideally involving technology, data, or process improvement.
• Strong ability to act as a thought partner and facilitator, guiding discussions, asking the right questions, and helping teams refine ideas without taking ownership away from the business.
• Practical understanding of AI concepts and capabilities sufficient to identify appropriate use cases, evaluate options, and connect teams to the right tools, vendors, or delivery paths within a technology and governance framework.
• Demonstrated comfort operating in ambiguous, fast‑moving environments, balancing speed with discipline and knowing when to standardize, elevate, or halt efforts based on risk, value, or misalignment.
• Ability to communicate clearly with both technical and non‑technical audiences, translating AI possibilities into business‑relevant language and outcomes.
• Experienc…