Enterprise AI Product Management Director

Smith+Nephew•Minneapolis, MN

2d•$136,000 - $252,250•Remote

About The Position

Smith+Nephew is hiring a Director, Product Management to lead a strategically important digital product within its Enterprise AI organization. This remote role is responsible for shaping product strategy and guiding a multidisciplinary Product Team to turn complex business needs into products that deliver measurable value globally. The role leads the product through discovery, development, validation, deployment, adoption, continuous improvement, and scale, with a focus on transforming end-to-end user experiences and embedding sustained adoption and value realization.

Requirements

Demonstrated experience leading strategically important digital products from discovery through development, deployment, adoption, and scale, with personal ownership of product vision, strategy, roadmaps, prioritization, and measurable business outcomes.
Proven leadership of integrated Product Teams spanning business, technology, engineering, data, design, agile delivery, and change.
Experience influencing senior business and technology leaders in complex, global environments.
Strong capability in user research, workflow analysis, experimentation, hypothesis validation, and evidence-based decision making.
Commercial acumen and sufficient AI, data, automation, architecture, security, and digital product fluency to partner effectively with technical leaders.
Bachelor's degree in Business, Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent experience.

Nice To Haves

MBA or relevant master's degree.
Relevant product management, change management, or AI governance credentials.

Responsibilities

Own the product vision, strategy, value proposition, roadmap, priorities, and measurable outcomes.
Lead a multidisciplinary Product Team spanning technology, engineering, data, design, agile delivery, change management, and business expertise.
Develop a deep understanding of users and workflows, and identify opportunities to transform end-to-end experiences rather than simply automate existing processes.
Validate opportunities through research, prototypes, experimentation, analytics, and user feedback before scaling investment.
Lead product delivery from discovery through development, validation, deployment, adoption, continuous improvement, and scale.
Define objectives, key results, adoption measures, and business KPIs, keeping the team focused on measurable outcomes and realized value.
Own adoption and value realization, embedding user readiness, workflow integration, feedback, and sustained use throughout the product lifecycle.
Lead senior stakeholder governance across the business, Enterprise AI, and Technology, providing clarity on priorities, outcomes, investments, dependencies, risks, and decisions.
Build reusable product capabilities that can expand into broader business initiatives and additional use cases.