Lead Technical Product Manager, Operations AI & Data

The Team

The Product Management Technology team serves as the digital backbone of On's innovative product creation engine. Composed of strategic product leaders, we partner closely with core business functions—ranging from R&D and Design to Sourcing and Supply Chain—to build the platforms and systems essential for On's growth.

Our mission is to cultivate a seamless, intelligent, and efficient digital ecosystem that empowers our teams to design and launch the next generation of groundbreaking products. We function as internal entrepreneurs, intricately woven into the business fabric, identifying complex challenges and crafting elegant, scalable solutions.

Joining our team presents a unique opportunity to drive transformative change and leave a tangible imprint on the future of one of the world's most dynamic brands.

The Role

Within On, our supply chain stands as the core of our global operations. We seek a visionary Lead Technical Product Manager to lead the next phase of our supply chain evolution by leveraging the capabilities of Artificial Intelligence and data.

In this leadership capacity, you will bridge the gap between complex operational challenges and state-of-the-art data solutions. Your responsibilities will include pinpointing high-impact opportunities where data, AI, and automation can revamp our planning, logistics, and decision-making processes. Your expertise will be essential in understanding business needs, data landscapes, and the potential of AI to define a compelling product vision, guiding our AI, data, and engineering teams in delivering highly valuable solutions. Additionally, your leadership will play a crucial role in mentoring other product managers and shaping the product culture within the team.

What You'll Do

• Own the Data & AI Product Vision: Develop and champion a clear product strategy and roadmap for Data & AI-driven initiatives within the supply chain domain.
• Identify Opportunities: Collaborate with supply chain stakeholders to deeply understand their processes, data challenges, and automation pain points.
• Translate Problems into Solutions: Convert ambiguous business problems into well-defined product requirements and specifications for our data science and engineering teams to drive measurable value.
• Prioritize for Impact: Create and manage a data-driven product backlog, focusing on features and initiatives that deliver the highest business value.
• Define Success: Establish and monitor key performance indicators (KPIs) to gauge the effectiveness and impact of AI/data products in collaboration with analytics.
• Bridge the Gap: Act as the primary liaison among business leaders, supply chain operators, data scientists, and engineers, ensuring alignment and clear communication across all teams.

What You'll Bring

• Leadership Experience: Proven track record as a Technical Product Manager, demonstrating a history of successfully leading significant products or initiatives from concept to launch.
• Supply Chain Acumen: Strong experience with supply chain data and a solid understanding of core supply chain principles, such as demand forecasting and inventory management.
• AI/Data Fluency: Familiarity with AI and machine learning concepts, with a knack for translating business needs into data-driven solutions; adept in collaborating with engineers and data scientists.
• Analytical Mindset: Capable of identifying the right success metrics and analyses that provide key insights into product functionality.
• Technical Aptitude: Comfortable in a technical environment and proficient in discussions regarding data models, APIs, and system architecture.
• Strategic Problem-Solver: Skilled at breaking down complex problems into actionable steps, possessing a strategic mindset to visualize the bigger picture.
• Exceptional Communication: Ability to articulate complex ideas clearly and effectively to both technical and non-technical audiences.