Job Specifications
The AI Centre of Enablement (CoE) is a new, high impact team at Markel International, created to accelerate responsible AI adoption and deliver tangible outcomes across every division. We operate with a dual mandate: AI Business Partnering: educating, advising, coordinating and governing AI usage; and AI Engineering: delivering strategic builds. You’ll be joining at formation stage, helping drive uptake, shape standards, setup communities of practice, and partnering with business AI leads, IT and Change Delivery to turn priority use cases into production outcomes. It’s a rare opportunity to influence AI strategy and execution across the entirety of Markel International.
We’re all about people | We win together | We strive for better | We enjoy the everyday | We think further
Who We Are
The International Portfolio Analytics (IPA) team at Markel is a dynamic, multi-functional group that operates with creativity, autonomy, and empowerment. Embedded within the underwriting business and represented in senior leadership forums, the team supports all divisions of Markel International. Its core focus lies in the key areas essential to driving profitability and performance for a specialty lines insurer: Portfolio Management, Pricing Transformation, Advanced Analytics and Catastrophe & Exposure Management.
You’ll collaborate closely with the rest of the International Portfolio Analytics team, who use innovative advanced analytics, data management, business intelligence, and technical pricing implementation to deliver market-leading programmes and technologies.
Part of Markel Group (NYSE – MKL) a Fortune 500 company with over 60 offices in 20+ countries, is a holding company for insurance, reinsurance, specialist advisory, and investment operations around the world.
What You’ll Be Doing
Advisory
Be an in-house consultant on AI, who can advise on a diverse range of asks from the business.
Help divisions turn AI ideas into outcomes by clarifying problem statements, defining success metrics, and expected benefits.
Lead vendors by staying informed on the insuretech/tech space; prepare shortlists and comparison grids for defined use cases, documenting pros, cons, and trade-offs.
Deliver Copilot development support for builds of varying complexity: from prompt design and agent creation to agentic system development, to enable scalable AI adoption.
Education
Promote and share use cases across Markel International, showcasing wins and reusable solutions that can scale across divisions.
Curate and maintain communities of leadership and practice, from Business AI leads (top-down) to super-user networks (bottom-up).
Collaborate with Learning and Development team to build and deliver impactful AI training for underwriting, claims, operations, and core functions.
Governance
Working with compliance and legal teams to develop and maintain a Markel International AI governance framework to meet internal policies and external regulations (e.g. EU AI Act).
Design and maintain the central AI inventory to ensure visibility and traceability of all AI assets, including third-party tools and Copilot integrations.
Embed responsible AI practices through guidance and compliance training for day-to-day operations.
Coordination
Provide project oversight for smaller AI initiatives: tracking timelines, deliverables, and dependencies to ensure projects stay on course and risks are flagged early.
Facilitate effective communication between business units, IT, data teams, and the AI Centre of Enablement to promote efficient delivery and alignment.
Key Skills
Business Partnering: Ability to build positive relationships across divisions, understand business priorities, and act as a bridge between technical teams and commercial objectives.
AI and Technology Expertise: Understand how the varying large language models (LLMs) work (e.g. architecture basics, fine-tuning, prompt engineering) and their limitations (bias, hallucination, compliance risks).
Copilot: Familiarity with modern AI tools and concepts (e.g. Microsoft Copilot, Copilot Studio, prompt design, agents, agentic systems) and a willingness to learn and adapt as technology evolves.
Governance Approach: Understanding of compliance, ethical standards, and regulatory frameworks (e.g. EU AI Act), with experience embedding controls into business processes.
Influencing and Communication Skills: Confidence in engaging senior stakeholders, simplifying technical concepts, and driving cultural change through education and advocacy.
Collaboration and Co-ordination: Skilled at connecting teams, leading dependencies, and providing light-touch project oversight to keep initiatives aligned and on track.
Change Leadership: Ability to inspire adoption, build communities of practice, and champion responsible AI use across diverse business areas.
Strategic and Analytical Thinking: Ability to turn complex business challenges into clear AI opportunities, balancing innovation with risk and ROI.
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