AVP, Agentic & Generative AI PM

Unum Group • Portland, ME

5d

About The Position

Unum is seeking an experienced product leader to identify, build, and scale Agentic and Generative AI products across the enterprise. The role is intended for someone who has already developed, launched, and scaled agentic AI products in production at organizational or business-unit scale, and who can turn promising prototypes into trusted products embedded in real business workflows. The position is part of Unum’s advanced analytics organization and supports the company’s transformation into an AI-first digital insurance company.

The AVP will own strategic AI-based products and solutions, identify high-value business problems, prove value through experimentation and MVPs, and scale successful solutions into repeatable enterprise products. The role includes shaping the advanced analytics roadmap, supporting an AI platform with standard tools and processes, integrating AI into business processes and digital assets, and defining success through measurable business and customer outcomes, adoption, reliability, trust, and economics.

The position partners with senior executives and leaders across business functions, as well as Data Science, AI Engineering, Software Engineering, and Architecture teams. It leads and develops product-focused teams and cross-functional programs, promotes AI adoption across the enterprise, and applies sound judgment to determine when Agentic AI is an appropriate solution. Product operations at scale include evaluation, observability, reliability, guardrails, human oversight, orchestration, governance, security, cost management, and ongoing support.

Requirements

• Background in Product Management, Computer Science, mathematics, Data Science, Operational Research, or a related discipline.
• 10+ years of product management experience, including significant experience building and scaling technology products within technology companies or sophisticated digital organizations.
• Demonstrated personal leadership of Agentic AI products from development through successful production deployment at organizational or business-unit scale.
• Proven ability to move Agentic AI solutions beyond prototypes or pilots into production with meaningful user adoption and measurable business outcomes.
• Excellent knowledge of AI technologies and technical fluency sufficient to work effectively with Data Scientists, AI/ML Engineers, Software Engineers, and Architects.
• Practical understanding of operating Agentic AI products at scale, including evaluation, observability, reliability, guardrails, human oversight, orchestration, security, cost, and ongoing product operations.
• Experience with modern AI/ML and Generative AI technologies and platforms.
• Strategic innovation and execution experience taking ideas to scale, with sound judgment about when Agentic AI is and is not an appropriate solution.
• Ability to bridge theoretical and applied work and communicate product vision and experience to non-technical stakeholders.
• Demonstrated depth of IT knowledge and diverse technical experience, and credibility as a technology partner.
• Experience leading and developing Product Managers, Product Owners, Business Analysts, or similar product-focused teams.
• Exceptional communication and relationship-building skills, including the ability to influence senior business leaders, customers, technical teams, and governance partners.

Responsibilities

• Own and drive strategic AI-based products and solutions, with a focus on Agentic and Generative AI.
• Provide input to and support execution of the advanced analytics roadmap.
• Generate, conceptualize, and lead the development of AI-first digital products, solutions, and capabilities.
• Support the establishment of an AI platform with standard tools, processes, and ways of working.
• Partner with business leaders and technical teams to identify and prioritize high-value AI use cases and operationalize them in business processes and digital assets.
• Apply Design Thinking, Lean Startup, experimentation, and MVP principles to test opportunities, validate value, and select solutions for scale.
• Influence senior executives and business leaders on AI strategies and investments.
• Partner with Data Science, AI Engineering, Software Engineering, and Architecture professionals on the analysis, design, development, modification, and testing of AI, analytics, and machine learning products and applications.
• Lead AI products from discovery and MVP through production and enterprise scale, including product evaluation, reliability, observability, human oversight, governance, security, cost, and operational support.
• Develop, coach, and engage people to achieve higher performance.
• Lead cross-functional, cross-disciplinary teams to deliver AI-centric programs.
• Identify repeatable AI product patterns and reusable capabilities that can be leveraged across the enterprise.
• Advocate for adherence to architecture standards, practices, and processes.
• Define product success using measurable business outcomes, customer experience, adoption, reliability, trust, and economics.
• Evangelize and help democratize AI across the enterprise.

Benefits

• Onsite fitness facilities
• Generous paid time off
• Employee professional development programs
• Healthcare benefits, including health, vision, and dental
• Short- and long-term disability insurance
• Performance-based incentive plans
• 401(k) retirement plan with employer match up to 5% and an additional 4.5% contribution whether or not the employee contributes

What This Job Offers

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