About the job
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 process. Our strategic product leaders collaborate with essential business functions, including R&D, Design, Sourcing, and Supply Chain, to construct the platforms and systems that fuel On's growth.
Our mission is to develop a seamless, intelligent, and efficient digital ecosystem that empowers our teams to design and deliver the next generation of groundbreaking products. As internal entrepreneurs, we are deeply integrated within the business, identifying complex challenges and constructing elegant, scalable solutions.
Joining our team offers you the unique chance to drive significant transformation and leave a tangible impact on the future of one of the world's most exciting brands.
The Role
At On, our supply chain is the backbone of our global operations. We are in search of a visionary Lead Technical Product Manager to lead the next evolution of our supply chain through the power of Artificial Intelligence and data.
In this pivotal leadership role, you will serve as the bridge between our intricate operational challenges and state-of-the-art data solutions. You will identify high-impact opportunities where data, AI, and automation can transform our planning, logistics, and decision-making processes. Your expertise in understanding business needs, data, and the possibilities of AI will help define a compelling product vision and guide our AI, data, and engineering teams to create solutions that deliver exceptional value.
As a Lead, you will also play a critical 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 advocate for a clear product strategy and roadmap for Data & AI-driven initiatives within the supply chain domain.
- Identify Opportunities: Collaborate closely and build relationships with supply chain stakeholders to thoroughly understand their processes, data challenges, and automation pain points.
- Translate Problems into Solutions: Convert ambiguous business challenges into well-defined product requirements, user stories, and specifications for our data science and engineering teams to drive measurable value.
- Prioritize for Impact: Create and manage a data-driven product backlog, prioritizing features and initiatives that provide the highest value to the business.
- Define Success: Establish and monitor key performance indicators (KPIs) to assess the effectiveness and impact of your AI/data products in collaboration with analytics.

