AVP, AI Strategy & Transformation

The Mutual Group • Iowa - TMG Home Office, IN

2d • Hybrid

About The Position

The AVP, AI Strategy & Transformation is responsible for defining, prioritizing, and delivering enterprise AI capabilities that enhance operational efficiency, member experience, and enterprise risk management across The Mutual Group. This role owns the end-to-end AI product lifecycle and portfolio, from strategy and opportunity identification through deployment, scaling, adoption, and optimization, with accountability for business outcomes and value realization. This leader serves as a strategic connector between business functions and technology teams, driving alignment, prioritization, and execution across complex enterprise AI initiatives. Operating as a senior leader, this individual influences enterprise priorities and delivers scalable, repeatable AI solutions across Member organizations. The role requires strong strategic leadership, stakeholder management, and organizational influence. This leader also represents The Mutual Group through industry engagement, conferences, speaking opportunities, and external partnerships while staying current on emerging AI trends, technologies, and market developments.

Requirements

• 7+ years of product management, product ownership, or technology leadership experience in AI, digital, data, or related domains
• Experience leading enterprise-scale AI, machine learning, or Generative AI products and capabilities
• Strong understanding of GenAI, LLMs, predictive models, RAG, prompting, evaluation frameworks, AI governance, and Responsible AI principles
• Demonstrated ability to define strategy, influence executive stakeholders, and lead complex cross-functional initiatives
• Strong business and technical acumen with the ability to connect AI capabilities to measurable business outcomes
• Experience designing scalable, repeatable products or platforms across multiple business units or customers
• Exceptional communication, stakeholder management, negotiation, and change leadership skills

Nice To Haves

• Experience in regulated industries such as insurance, financial services, or healthcare preferred
• Experience in P&C insurance operations or mutual insurance environments preferred
• Familiarity with enterprise AI platforms and cloud environments (Azure, AWS, GCP preferred)
• Relevant certifications in agile product ownership, AI product management, or cloud AI technologies preferred

Responsibilities

• Define and own TMG’s AI product roadmap aligned to strategic business priorities and measurable outcomes
• Identify, evaluate, and drive prioritization of AI opportunities that enable operational efficiency, business value, and Member impact
• Establish product vision, success metrics, investment priorities, and adoption strategies for enterprise AI capabilities
• Develop scalable AI accelerators, reusable frameworks, and repeatable deployment models across Member organizations
• Help shape enterprise AI operating models, standards, and best practices across the organization
• Monitor emerging AI trends, technologies, regulatory developments, and competitive activity to inform enterprise AI strategy
• Lead AI products through the full business lifecycle from concept and prioritization through pilot, deployment, adoption, optimization, and ongoing performance management in partnership with technology teams
• Lead cross-functional product delivery and prioritization, balancing business value, feasibility, governance, risk, and cost considerations
• Define product requirements and delivery standards aligned to AI/ML development standards
• Establish performance monitoring and evaluation frameworks for AI effectiveness, adoption, accuracy, and business impact
• Serve as the primary liaison across business, technology, data, engineering, risk, and governance functions
• Influence alignment across competing priorities and drive decision-making in complex, cross-functional environments
• Provide leadership, guidance, and mentorship across cross-functional AI initiatives and product teams.
• Build and maintain strong relationships with executive leadership, Member organizations, external partners, and vendors
• Lead stakeholder engagement, communication, enablement, and change management efforts to accelerate enterprise AI adoption and value realization
• Define scalable enablement strategies including training, implementation playbooks, user guidance, and adoption frameworks to support repeatable deployment across Member organizations
• Translate complex AI concepts into clear, business-focused communications tailored to executive and operational audiences
• Partner with Risk, Legal, Compliance, Security, and Model Governance teams to align AI products with Responsible AI standards, enterprise policies, and regulatory requirements
• Incorporate governance, transparency, privacy, human oversight, and risk mitigation practices into AI product design, delivery, and operational processes
• Drive ongoing monitoring, model performance management, and continuous improvement processes in partnership with governance and oversight teams
• Represent The Mutual Group at conferences, industry forums, speaking engagements, and strategic partner discussions
• Maintain awareness of emerging AI capabilities, market trends, vendor solutions, and industry best practices
• Identify and incorporate externally identified opportunities to strengthen The Mutual Group’s AI strategy, innovation roadmap, and competitive positioning

Benefits

• Competitive base salary plus incentive plans for eligible team members
• 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
• Free basic life and AD&D, long-term disability and short-term disability insurance
• Medical, dental and vision plans to meet your unique healthcare needs
• Wellness incentives
• Generous time off program that includes personal, holiday and volunteer paid time off
• Flexible work schedules and hybrid/remote options for eligible positions
• Educational assistance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed