AI Product Owner- SPG

About Us

Specialty Program Group, a division of HUB International, offers access to capital and investment, deep carrier relationships, creative thinking, product development and broad distribution, while allowing our businesses to maintain the essence of what makes them successful. Specialty Program Group delivers leading-edge specialty expertise backed by transformative digital capabilities and sophisticated data and analytics.  

Position Overview

We are seeking an AI Product Owner to drive the business use cases, roadmap, and execution of enterprise AI solutions. This critical role sits at the intersection of business, AI technology, development, and user experience; responsible for translating HUB's AI vision into tangible products that deliver measured value. The AI Product Owner will own the product lifecycle for AI; to scale AI adoption from while ensuring responsible AI practices across the enterprise.

Key Responsibilities

AI Product Strategy & Vision

• Collaborate with stakeholders to align AI initiatives with business objectives and strategic priorities

• Identify and prioritize AI use cases across insurance value chains including underwriting, claims, policy servicing, and sales enablement

• Develop investment thesis documentation for emerging AI capabilities (Digital D2C, Voice AI, Agentic Coding)

• Monitor AI industry trends, competitive landscape, and emerging technologies to inform product direction

Product Development & Delivery

• Own the product backlog for AI initiatives, facilitate AI solution groups, acceptance criteria, and technical specifications

• Lead discovery phases for new AI products

• Partner with engineering, data science, and design teams to deliver AI solutions through agile sprints

• Define MVP scope, success criteria, and pilot implementation strategies for new AI capabilities

• Manage vendor relationships and technical integrations with AI platform partners

User Experience & Adoption

• Champion the voice of the AI user, conducting working sessions to understand pain points and opportunities for AI solutions

• Drive user adoption of AI users through compelling experiences

• Partner with Innovation Cohorts and AI Business Champions to gather feedback, validate solutions, and scale successful use cases

• Design intuitive AI interfaces that balance powerful capabilities with ease of use for diverse user personas

• Develop training materials, documentation, and change management strategies to support AI rollouts

Governance & Responsible AI

• Ensure AI products comply with HUB's AI governance framework, security policies, and regulatory requirements

• Champion responsible AI practices including fairness, transparency, explainability, data privacy and more

• Support AI Center of Excellence with product recommendations and prioritization decisions

• Document AI capabilities, value creation, limitations, and appropriate use cases for enterprise deployment

• Establish model performance metrics, monitoring dashboards, and continuous improvement processes

Metrics & Value Realization

• Define and track KPIs for AI product success including adoption rates, time savings, and business impact metrics

• Build ROI models and business cases to justify AI investments and demonstrate value to executive leadership

• Report on AI program health, user adoption trends, and value creation across the enterprise

• Quantify productivity and communicate success stories

Required Qualifications

• 7+ years of experience in product management, product ownership, or related roles

• 3+ years of direct experience with AI/ML products, data science initiatives, or enterprise AI deployments

• Strong understanding of generative AI capabilities, large language models (LLMs), and AI application patterns

• Proven experience facilitating AI Solutioning, user stories, and technical specifications

• Experience with Agile/Scrum methodologies and working with cross-functional development teams

• Excellent stakeholder management and executive communication skills

• Bachelor’s degree in business, Computer Science, Data Science, or related field

Preferred Qualifications

• Experience with enterprise AI platforms (Anthropic Claude, OpenAI, Microsoft Copilot, Google Gemini)

• Insurance or financial services industry experience