Build and operate the technical control plane for Responsible AI - model and agent inventory, risk tiering, approval workflows, policy enforcement, guardrails, audit logging, explainability and bias testing - aligned to Unum's AI governance framework, Model Risk Management, NAIC AI Model Bulletin expectations, Colorado SB 21-169 and similar state rules, the EU AI Act (for UK/Poland operations) and NIST AI RMF. Design and evolve the operating model for platforms and architecture - including the balance between central platform teams and federated, business-aligned delivery teams; the role of architects embedded in domains; and the interfaces with Data Governance, Data Science, Information Security and Infrastructure.