AI Governance Lead

This is an opportunity to join Ascot Group - one of the world's preeminent specialty risk underwriting organizations.

Designed as a modern-era company operating through an ecosystem of interconnected global operating platforms, we're bound by a common mission and purpose. Our greatest strength is a talented team who flourish in a collaborative, inclusive, and entrepreneurial culture, steeped in underwriting excellence, integrity, and a passion to find a better way, The Ascot Way.

The Ascot Way guides our people and our organization. Our underwriting platforms collaborate to find creative ways to deploy our capital in a true cross-product and cross-platform approach. These platforms work as one, deploying our capital creatively through our Client Centric, Risk Centric and Technology Centric strategies.

Built to be resilient, Ascot offers clients leading financial security while delivering bespoke products and world class service - both pre- and post-claims. Ascot exists to solve for our clients' brightest tomorrow, through agility, collaboration, resilience, and discipline.

Ascot is embedding artificial intelligence (AI) and automation across the organisation to enhance decision‑making, efficiency, and quality of outcomes. In this role, you will be expected to work confidently alongside AI‑enabled tools, apply sound judgment when interpreting insights, and adapt as technology continues to evolve. We value curiosity, critical thinking, and a willingness to embrace change as part of how we work.

Position Overview:

Reporting to the Senior Vice President, Predictive Modeling & AI Strategy, the AI Governance Lead is responsible for continuing to operationalize and improve Ascot's enterprise AI governance framework. This role ensures that all AI solutions-across underwriting, claims, operations, and corporate functions-are developed and deployed in a safe, compliant, ethical, and value-driven manner, aligned with regulatory expectations (e.g., NAIC, EU AI Act) and internal risk standards.

This individual will act as the central point of coordination across business, technology, legal, and risk, supporting the AI Governance Board and AI Delivery Board. This position is an in-office role with a hybrid work schedule.

Responsibilities:

* Own and evolve the enterprise AI governance framework, including policies, standards, and controls

* Define and maintain AI risk classification models (e.g., high vs. low risk based on impact, autonomy, data sensitivity)

* Ensure alignment with regulatory expectations (NAIC AI Principles, UK/EU guidance, model risk management)

* Continue to improve and define governance standards for:
Generative AI (e.g., Copilot, external models), Predictive models (pricing, underwriting, claims), Third-party/vendor AI solutions

* Lead the AI intake and assessment process using risk scoring frameworks (e.g., fairness, explainability, reversibility, exposure)

* Chair or support governance forums reviewing AI use cases prior to approval

* Establish clear escalation pathways for high-risk use cases

* Maintain a central inventory of AI use cases, models, and tools

* Define lifecycle controls across:
Development, Validation, Deployment, Monitoring

* Ensure appropriate controls for:
Model explainability, Bias/fairness testing, Human-in-the-loop decisions

* Oversee governance for enterprise platforms (e.g., Copilot, Palantir, underwriting workbenches)

* Serve as the primary liaison with Legal, Compliance, and Risk on AI matters

* Interpret emerging regulations and translate into practical governance controls

* Support internal and external audits (regulators, board reviews)

* Maintain documentation and evidence for regulatory readiness and ensure model documentation standards (model cards, audit trails)

* Develop and track AI governance KPIs, including:
Adoption vs. risk exposure, Number of high-risk use cases, Model performance degradation, policy compliance

* Deliver board-level reporting and dashboards

* Design and deliver AI governance training programs for business and technical teams

* Promote responsible AI practices and awareness across the organization

* Build playbooks, templates, and self-service…