AI Product Owner- SPG

Hub International Insurance•Chicago, IL

About The Position

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.

Requirements

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

Nice To Haves

Experience with enterprise AI platforms (Anthropic Claude, OpenAI, Microsoft Copilot, Google Gemini)
Insurance or financial services industry experience
Experience with RAG (Retrieval Augmented Generation), prompt engineering, and AI agent architectures
Product management certifications (CSPO, PSPO, or equivalent)
Master's degree or MBA
Experience with AI governance frameworks and responsible AI practices
Technical background with ability to understand data pipelines, APIs, and AI model architectures
Strategic thinking with ability to translate AI capabilities into business value
User empathy and design thinking mindset
Data-driven decision making with strong analytical skills
Excellent written and verbal communication across technical and non-technical audiences
Entrepreneurial mindset with ability to navigate ambiguity and drive innovation
Collaborative leadership style with ability to influence without authority
Integrity and commitment to responsible AI development

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