Senior Product Manager, AI

Humana Inc. is committed to putting health first, and they are seeking a Senior Product Manager for their AI initiatives. The role involves working with cross-functional teams to build AI-powered solutions, defining success metrics, and driving product development from concept to validation.

Responsibilities:

• Responsible for contributing to a product area within our applied AI portfolio, defining success metrics, prioritizing problems, and identifying the best AI-driven strategies aligned with business goals
• Work directly with business stakeholders to understand their operations, capture requirements, map processes, and identify high-impact opportunities for AI
• Translate business problems into clearly scoped AI use cases and drive them from concept through prototyping to validation
• Contribute to rapid prototyping of AI solutions, including GenAI applications, AI agents, conversational AI, and intelligent automation, to demonstrate feasibility and business value
• Work with a cross-functional team of engineers, designers, and data scientists to define products, develop roadmaps, and drive progress against goals and milestones
• Gather and analyze user research, business process data, and market analysis to inform product decisions and influence the wider product organization
• Contribute to evaluation frameworks to test, benchmark, and compare AI models and platforms against enterprise requirements
• Contribute to reusable product frameworks, playbooks, and best practices that accelerate AI solution delivery across the organization
• Communicate product strategy, progress, and business value with clarity to all stakeholders
• Support experimentation, A/B testing, and iterative design approaches to continuously improve AI solutions

Requirements:

• 4+ years of relevant industry experience with at least 2 years in product management or a closely related role
• Experience working with a cross-functional product team on a significant product area: crafting product vision and strategy, defining requirements, coordinating resources, and driving the team to achieve key milestones
• Demonstrated experience working directly with business stakeholders to gather requirements, map processes, and identify opportunities for AI-driven improvement
• Hands-on experience prototyping or building AI-powered solutions, not just supporting from a distance
• Experience with AI/ML products and platforms in enterprise environments, including GenAI applications, conversational AI, or intelligent automation
• Proven ability to drive measurable improvement in product performance and team effectiveness
• Experience managing a product through multiple lifecycle phases, from discovery through prototyping, validation, and deployment support
• Demonstrated ability to analyze large-scale, complex data sets and make effective decisions based on data
• Experience integrating diverse requirements from a broad set of users and business contexts into a coherent product strategy
• Practical understanding of AI/ML concepts and how they apply to real business problems
• Experience with GenAI platforms, prompt engineering, and AI agent frameworks
• Knowledge of AI solution architectures (e.g., RAG, conversational AI) sufficient to evaluate feasibility and guide implementation
• Ability to contribute to evaluation frameworks for assessing AI model and platform performance
• Familiarity with design and prototyping tools (e.g., Figma, Miro) to communicate product vision
• Understanding of human-centered design principles and data visualization for AI-powered applications
• Knowledge of responsible AI principles, bias mitigation, and ethical AI design
• Ability to synthesize complex information and translate between business language and technical concepts with clarity
• Experience with product strategy, roadmap planning, feature prioritization, and agile delivery
• Ability to contribute to business cases and ROI models for AI investments
• Demonstrated experience in communication, bringing extreme clarity to complex messages for diverse stakeholders
• Strong collaboration skills across engineering, design, business, and executive stakeholders
• Strong problem-solving skills with ability to balance innovation and execution
• Awareness of industry trends, emerging AI technologies, and best practices