Lead - Supply Chain Decision Intelligence

As our Lead Analytics & Decision Intelligence, you will be the principal architect of our integrated supply chain steering platform. Your role is to transform complex global data into a world-class visualization and modeling layer that empowers our end-to-end planning teams. You are a unique hybrid: a technical expert who understands the nuances of stochastic modeling and analytics engineering, and a user-centric designer who obsesses over creating intuitive, high-fidelity interfaces. You will be responsible for engineering the interactive systems that allow On’s leadership to navigate volatility and make high-stakes decisions with clarity and confidence.

• Design the Unified Visualization Layer: Lead the UI/UX design and development of our integrated planning interface, ensuring a holistic, "Single Pane of Glass" view across the entire global supply chain.
• Build the Logic Layer: Collaborate with the Technology team to architect and build scalable dbt models and semantic layers that serve as the "Single Source of Truth" for all planning decisions.
• Model Probabilistic Outcomes: Develop and deploy stochastic models (e.g., Monte Carlo, Discrete Event Simulation) to stress-test the supply chain and identify operational boundaries and resilience thresholds.
• Translate Business Logic: Codify complex supply chain rules—from service level definitions to multi-echelon inventory targets—into automated, high-integrity technical calculations.
• Drive User-Centric Adoption: Conduct research with Planners and Directors to ensure analytics tools are intuitive, actionable, and seamlessly integrated into S&OP and execution cycles.
• Synthesize Global Data Flows: Orchestrate complex data joins to bridge informational gaps between ERP systems, real-time logistics milestones, and demand signals.

• 5-7+ years of experience in Data Modeling or Analytics, with a proven portfolio of high-end BI/Visualization projects (Tableau, PowerBI, or Looker).
• Technical Toolkit: Advanced SQL skills and experience with modern data stacks (dbt, Snowflake, or BigQuery); familiarity with Python/R for statistical modeling is a plus.
• Design Thinking: Strong competency in UX/UI principles—you know how to organize information hierarchies and design for "exception-based" management.
• Supply Chain Knowledge: Deep understanding of E2E Supply Chain metrics (WAPE, OTIF, Inventory Turns) and the mathematical interdependencies between them.
• Stochastic Mindset: Experience with, or a strong desire to apply, probabilistic modeling and simulation to solve real-world capacity and risk problems.
• The Storyteller: Exceptional ability to simplify complex data structures into clear, visual narratives for non-technical senior stakeholders.
• Proficient English language skills. Other languages are a plus.