VP, AI - First IT and Transformation

Department:
Information Technology

Vice President, AI‑First IT and Transformation – As the VP, you will play a key role in supporting The Mutual Group (TMG), Guide One Insurance, and future members by establishing and scaling TMG’s enterprise AI capability. You will help the organization apply AI in practical, secure, and measurable ways across business processes, technology platforms, IT delivery, operations, and employee productivity. The leader is accountable for moving AI beyond isolated tools and experiments into a governed, reusable, and scalable enterprise capability.

You will partner with business leaders to identify and deliver AI‑enabled improvements in underwriting, claims, operations, finance, customer experience, and employee productivity. You will guide the creation of AI‑First platforms, establish AI‑first engineering practices, support adoption of AI across the software development lifecycle and IT operations, and enable responsible use of enterprise AI tools such as ChatGPT, Microsoft Copilot, and related productivity platforms.

• Enterprise AI Strategy & Transformation Leadership – Define and lead TMG’s enterprise AI strategy in partnership with the CITO, business executives, technology leaders, and risk governance partners. Establish the AI‑First IT operating model, roadmap, governance approach, funding priorities, delivery rhythm, and measurable outcomes.
• Build a disciplined portfolio of AI initiatives that balances experimentation, speed, security, business value, operational readiness, and risk management. Translate emerging AI capabilities into practical, secure, scalable solutions that improve business outcomes, employee productivity, and technology delivery.
• Serve as a thought leader and practical operator who helps the organization understand where AI can create value, where it creates risk, and how to adopt it responsibly.
• AI Platforms, Architecture & Engineering Enablement – Lead the strategy and delivery of foundational AI platform capabilities that support secure, scalable, and reusable AI‑enabled applications. Define architecture patterns for AI‑First applications, copilots, intelligent workflows, automation agents, enterprise knowledge solutions, and reusable AI components.
• Guide platform capabilities such as model access, retrieval frameworks, vector databases, enterprise knowledge integration, prompt and response controls, observability, and governance guardrails. Introduce AI‑assisted software engineering practices across the SDLC, including coding, testing, documentation, requirements analysis, code review, and engineering workflow automation.
• Partner with Applications, Engineering, Infrastructure, Operations, Architecture, Security, and Data teams to pilot, refine, and scale AI‑enabled practices over time.
• Business Capability Enablement & Adoption – Partner with underwriting, claims, operations, finance, customer service, and other business functions to identify and deliver high‑value AI‑enabled process improvements. Lead the development of AI capabilities such as decision support, workflow automation, document intelligence, knowledge assistance, summarization, triage, productivity tools, and service quality improvements.
• Help business teams move from AI ideas to practical use cases with clear outcomes, adoption plans, controls, and value measures. Lead enterprise enablement of AI productivity tools such as ChatGPT, Microsoft Copilot, and related assistants, including standards, training, adoption practices, and usage guardrails.
• Build reusable playbooks, enablement models, and communities of practice that raise AI fluency across IT and the broader organization.
• Responsible AI, Governance & Risk Partnership – Work closely with the Senior Director, AI & Technology Risk Governance to ensure AI adoption is responsible, secure, compliant, and aligned with TMG’s risk appetite. Embed security, privacy, responsible AI, sensitive data handling, human oversight, vendor risk, and production readiness into AI platforms, business use cases, engineering practices, operations, and employee tools.
• Partner with Security, Legal, Risk, Compliance, Data,…