Digital - Enterprise AI Product Manager (Associate)

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. The Associate Product Manager on the Huron +AI team will contribute to AI product development, support product discovery activities, and collaborate with various teams to enhance Huron's portfolio of AI solutions.

Responsibilities:

• Contribute to AI product development across the lifecycle — requirements definition, user story writing, backlog management, release coordination, and continuous improvement
• Support product discovery activities including stakeholder interviews across industry and practice teams, feedback synthesis, and industry trend monitoring
• Partner with AI transformation teams to translate delivery insights and field learnings into product inputs, feature refinements, and roadmap considerations
• Assist in UX and prototyping work — wireframes, personas, user journeys, and usability inputs — in collaboration with design and engineering counterparts
• Contribute to go-to-market preparation: positioning inputs, feature documentation, internal communications, and enablement materials for practice and industry teams
• Support build vs. buy vs. partner analysis and pricing model inputs for solutions in development
• Maintain product artifacts including roadmaps, requirement documentation, and sprint tracking under senior direction
• Develop working familiarity with enterprise AI architecture and infrastructure sufficient to collaborate effectively with technical teams
• Help grow AI fluency across Huron by contributing to internal knowledge sharing, onboarding content, and practice capability materials
• Support definition and tracking of product value and success metrics — partner with senior product managers to help establish clear KPIs and contribute to measuring and communicating product impact over time

Requirements:

• Bachelor's degree in a related field or equivalent work experience
• 2-4 years of experience in product management, consulting, or a related role with exposure to enterprise technology or software products
• Demonstrated interest in or practical exposure to AI, machine learning, or generative AI applications in business contexts
• Proficient in structured communication and presentation; able to prepare clear, well-organized materials with direction
• Foundational understanding of product management principles: user stories, backlog prioritization, roadmap inputs, and product metrics
• Comfortable working cross-functionally with engineering, design, practice, and go-to-market teams in a matrixed environment
• Curiosity, learning orientation, and a bias toward tangible output over process for its own sake
• Ability to articulate the impact of prior work, including contributing to defining success metrics, measuring outcomes, and connecting product or project efforts to business value