Lead - Supply Chain Decision Intelligence & Operations Research

On AG -
Zürich, ZH

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Détails de l'emploi

Il y a 8 heures

Qualifications

MATLAB
R
Logistique
Recherche
SQL
Technologies de l'information
Production
Python

Description complète du poste

Location: Zurich

Supply Chain

In short

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.

This role combines Operations Research, applied mathematics, supply-chain expertise, and modern analytical technology. Technology teams own enterprise pipelines, platforms, and production deployment; you will provide the business logic, mathematical models, prototype evidence, and functional requirements needed to scale valuable solutions.

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.

What makes you successful

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.

About the Team

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.

Our work powers On’s growth engine and elevates and speeds decision making. If you’re passionate about using data and analytics to surface insights and steer the future - you’re in the right place.

Zürich

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.

Förrlibuckstrasse 190,
8005
Switzerland

Location

Hannes

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.

What we offer

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.

Build the better you

What to expect

We want to set everyone up for success, so here’s the lowdown on how we hire. Our process is a two-way street – bringing you into our culture, while helping us learn how you think.

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.

Before you get started, feel free to consider if you want to work with us. Strange question? Well, we give people a lot of space to navigate their day-to-day and that style isn't for everyone. We want you to be passionate about what you do and be sure this is the right fit. Because when skills and passion combine – it creates that 'Wow' moment.

Step One

It starts with you...

You'll start by submitting your application to a specific role. We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. If you're a good fit to the role, a recruiter will follow up with you directly. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On.

Step Two

Interview with a recruiter

What ignites your spirit? This is where we’ll start getting to know all about you and what makes you tick – and it’s your first chance to get a feel for our culture. Chatting with a member of our talent team, you’ll learn more about On and how we work. We’ll learn about what motivates you and what you could bring to the team.

Step Three

Interview with a hiring manager

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.

Step Four

The Case Study

What's your style? This task will help us understand how you think, face a challenge and give insight into your novel ideas. Designed to give everyone their best shot, your case study is based on something you might typically experience on the job. This is your chance to show us what you’ve got. So express yourself. Be you.

Step Five

The Experience Day

Your first taste of the Oniverse. This is a time to meet some of the people you'll be working closest with. In person or virtually, you'll get a feel for the day-to-day at On and the people who make it happen. You'll chat with a few potential teammates - the conversations will be as equally driven by the role and your experience as by our values. We believe how you do things is just as important as what you do.

Step Six

The Result

Are we a good fit? We’ll get together internally to share our feedback and decide if we’re a match. We know that job searching is a big time investment, so it’s not a decision we take lightly. It’s also time for you to reflect on the experience – are we the right place for you? No matter the outcome, we’ll give you meaningful feedback.

Soumettre votre candidature

Supply Chain

In short

Your Mission

Your story

About the Team

Zürich

Hannes

What we offer

What to expect

Step One

It starts with you...

Step Two

Interview with a recruiter

Step Three

Interview with a hiring manager

Step Four

The Case Study

Step Five

The Experience Day

Step Six

The Result

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