AVP, Agentic & Generative AI PM at Unum Group in Portland, OR

  • Company: Unum Group
  • Location: Portland, Maine, USA
  • Salary: $134K – $274K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-29

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Job description

Job Posting End Date: November 15 Our Fortune 500 company is driving a digital transformation and looking for forward-thinking innovators to disrupt how our industry thinks about and uses technology. As one of the world's leading employee benefits providers, we help millions of people gain affordable access to benefits that help them protect their families, their finances and their futures. Are you an asker of questions, a solver of problems, and a challenger of the status quo? Our mission is to provide a differentiated customer experience and exceed the expectations people have of technology at any company — not just insurers. We are seeking individuals to join our team of talented IT professionals who share never-ending passion and an unwavering focus on our customer experience. Team members comfortable working in an agile, fast-paced, and delivery-focused environment thrive in our environment where we value an entrepreneurial spirit and those who challenge the status-quo. Unum is changing, and we’re excited about what’s next. Join us. General Summary: We are looking for an exceptional product leader to identify, build, and scale the next generation of Agentic and Generative AI products across the enterprise. This is not an entry point into Agentic AI. We are looking for someone who proven experience developing, shipping, and scaling agentic AI products in production across a large organization or business unit and understands what it takes to move from compelling prototypes to trusted products used in real business workflows. At the heart of the role is a simple mandate: find important problems worth solving, prove the value quickly, and turn what works into trusted, repeatable agentic products that scale. As a leader in advanced analytics within Unum, you will play a critical role in transforming Unum from a traditional insurance player to a leading AI-first digital insurance company. 1. Own and drive strategic AI-based products/solutions, with a particular focus on Agentic and Generative AI 2. Influence senior executives around strategies and investments related to AI 3. Lead a world-class team of Product Managers, Product Owners, Business Analysts and other AI-focused professionals with cross-discipline partnerships with other functional areas across Finance, Marketing and Operations 4. Support efforts to evangelize and democratize AI across the enterprise 5. Identify high-value business problems where Agentic and Generative AI can create meaningful impact and lead products from discovery and MVP through production and enterprise scale Principal Duties and Responsibilities Provide inputs and support execution on the advanced analytics roadmap. Lead efforts to generate, conceptualize and build AI-first digital products/solutions/capabilities, including Agentic and Generative AI products. Support establishing 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 integrate and operationalize AI into business processes and other digital assets to deliver measurable business value. Apply Design Thinking, Lean Startup, experimentation and MVP principles to quickly test opportunities, validate value and determine which solutions should move forward to scale. Influence senior executives and business leaders around strategies and investments related to AI. Partner with Data Science, AI Engineering, Software Engineering and Architecture professionals across a wide range of environments, supporting the analysis, development, design, creation, modification and testing of Unum Agentic AI, Generative AI, data analytics and machine learning products and related applications. Bring firsthand understanding of moving AI products from prototype to MVP to production and enterprise scale, including considerations around evaluation, reliability, observability, human oversight, governance, security, cost and operational support

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