AI Product Manager

​​The AI Product Manager is a strategic product leader responsible for evolving the MRI-Simmons Insights Platform into a more intuitive, AI-assisted decision-making experience. This role focuses on applying artificial intelligence—particularly conversational interfaces, natural language interaction, and workflow automation—to help users explore data, understand insights, and take action more efficiently within an existing enterprise BI platform. Reporting to a Senior Director, Product Management, the AI Product Owner serves as the business owner for their product portfolio—translating customer needs, market opportunities, and platform capabilities into scalable, market-ready solutions. Success in this role requires close partnership with design, engineering, data science, and client-facing teams to ensure AI-driven features are intuitive, valuable, and aligned with customer success and commercial growth. ​ 

As the AI Product Manager , you will have the following key accountabilities:

• Lead cross‑functional teams to deliver impactful AI features, partnering with product, engineering, design, commercial, and client teams.
• Identify high‑value workflows where AI reduces friction, modernizes user experiences, and delivers explainable, trusted outcomes.
• Translate market opportunities into clear AI requirements, leveraging ML, NLP, LLMs, RAG, and predictive analytics.
• Oversee user research and testing for AI usability, prioritizing features that deliver measurable value and intelligent automation.
• Create wireframes, prototypes, and user flows for AI‑driven product experiences.
• Conduct competitive analysis to understand AI trends and differentiation opportunities.
• Collaborate with commercial partners to shape demos, narratives, and sales enablement materials.
• Gather customer feedback and analytics to continuously refine and improve AI capabilities.
• Track AI feature performance and guide continuous optimization.
• Integrate external AI models and APIs while ensuring ethical use, compliance, and data governance.
• Work with clients to understand AI onboarding and integration needs.