As our Lead - Supply Chain Decision Intelligence & Operations Research, you will apply mathematical rigor to complex decisions across On’s global supply chain.You will design optimization, simulation, and scenario models that help leaders and planners understand constraints, evaluate trade-offs, and make better decisions. You will work across problem framing, data exploration, rapid prototyping, business validation, and the transfer of successful solutions to Technology for scalable implementation

Your Mission

• Develop decision models: Design and test optimization, simulation, and scenario models for areas such as inventory, capacity, fulfilment, demand and supply balancing, service risk, and product lifecycle decisions
• Build rapid prototypes: Use Python, SQL, Hex, and other analytical tools to quickly develop and validate models with planners and business stakeholders before industrialisation
• Prepare model-ready data: Independently explore, assess, join, and transform data needed for modelling. Document assumptions, data-quality issues, transformation logic, and validation rules
• Partner with Technology: Work closely with Data Engineering, Data Science, Optimization Engineering, and platform teams to transfer successful prototypes into scalable solutions. Provide clear model specifications, business logic, input and output requirements, test cases, and acceptance criteria
• Enable scenario planning: Build models that allow leaders to stress-test the supply chain, evaluate constrained scenarios, and quantify risks, sensitivities, and downstream impacts
• Translate mathematics into decisions: Turn complex model outputs into clear recommendations, trade-offs, and actionable insights for planners, directors, and senior leaders
• Apply modern technology: Use AI-assisted coding, agentic workflows, and generative tools to accelerate data exploration, modelling, scenario development, and documentation. These tools should augment, not replace, mathematical rigor, validation, transparency, and explainability

Your story

• Essential capabilities
• You bring strong foundations in Operations Research, Applied Mathematics, Industrial Engineering, Management Science, Decision Science, Systems Engineering, Statistics, Physics, or another quantitative discipline
• 5 to 7 years of relevant experience in industry, consulting, applied research, academia, or a combination of these environments
• Strong experience in optimization, simulation, stochastic processes, probabilistic modelling, or related quantitative methods
• Ability to formulate real-world problems mathematically and implement models computationally
• Proficiency in Python, R, Julia, MATLAB, or an equivalent environment
• Strong SQL and data-wrangling skills
• Ability to work independently with complex and imperfect data
• Strong problem-framing and analytical thinking
• Ability to explain quantitative results clearly to non-technical stakeholders
• Experience collaborating across business, analytics, and Technology teams
• Desirable experience
• Experience in supply chain, logistics, manufacturing, retail, or another constrained operational environment
• Experience with inventory, allocation, capacity, fulfilment, network, or service-level models
• Familiarity with tools such as Gurobi, CPLEX, Pyomo, PuLP, OR-Tools, JuMP, SciPy, or Hex
• Experience with simulation, stochastic optimization, or probabilistic forecasting
• Experience transferring prototypes into production
• Familiarity with supply-chain metrics such as OTIF, forecast accuracy, bias, inventory coverage, and inventory turns
• Interest in AI-assisted development and agentic analytical workflows
• You combine mathematical depth with pragmatism. You are comfortable working with imperfect data, challenging assumptions, and iterating with end users. You know when a simple model is sufficient, when greater sophistication is justified, and when a prototype is ready to scale
• Most importantly, you are motivated by using rigorous quantitative thinking to improve real decisions

The Analytics & Decision Intelligence team empowers our Global Supply Chain with high-quality decision enablement tools. We connect business priorities, operational knowledge, deep quantitative and analytical methods and technology capabilities to rapidly test concepts and scale proven solutions

Just by the banks of the Limmat you’ll find our largest global hub in Zürich West – On Labs – where you can hike up 12 floors through our custom-built spiral trail

Head of Integrated Business Planning

• The great thing about our Supply Chain at On is our adaptable, agile structure. We’re a passionate team constantly looking for originality, pushing the status quo to keep up with On's growth and strong focus on sustainability
• On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose
• On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination
• Our full process can last about eight weeks from application to offer, because we care about getting it right. These steps explain how we usually do things

Ready to dig into the details?This second interview will be held with your future manager and will focus on the specifics of the job. Together you’ll delve into your unique skills and experiences and how they could be relevant at On. It's also a time to assess how you might feel working side-by-side. Bring any questions you have about the job, the team or anything else you might like to know – this is an open forum