Principal Supply Chain Data Excellence

At Brooks, we believe movement is the key to feeling more alive. That’s why we’re driven to create gear and experiences that take people to the place that makes them feel more alive — whether it’s a headspace, a feeling, or a finish line.

Everyone who works at Brooks is propelled by a company culture that sparks excitement, fuels collaboration, inspires creativity, and ignites innovation.

Our brand values help bond us together and drive our success:

• Runner First
  • We act in the best interest of the runner
• Word is Bond
  • We do what we say we’ll do
• Champion Heart
  • We give our all in everything we do
• There is no “I” in Run
  • We stay generous with our humanity
• Keep Moving
  • We find ways to move every day, because joy is kinetic!

We welcome everyone from every walk of life looking to inspire others through the power of movement - because we’re all moving towards something. Let’s run there.

As the Principal Supply Chain Data Excellence at Brooks, you will enable Brooks’ global Supply Chain strategy by defining how critical Supply Chain data is governed, measured, trusted, and used across the source-to-market ecosystem. You will own the functional strategy for Supply Chain Data Excellence and translate business priorities into scalable standards, stewardship models, quality rules, governance decisions, reporting definitions, and prioritized improvement roadmaps.

As the enterprise authority of Supply Chain data, you will connect business process expertise with data governance, systems delivery, analytics enablement, and change adoption. You will establish the end-to-end digital data thread linking critical master data, transactional data, process milestones, controls, KPI definitions, and decision points so teams can trace, understand, and trust the data that powers planning, execution, performance management, and strategic transformation.

You will lead through influence across Supply Chain functional teams, IT, Data & Analytics, Product, regional partners, and leadership stakeholders. Success requires the ability to frame ambiguous data and process challenges, align senior stakeholders on standards and tradeoffs, sequence work against Run Trail Map priorities, and drive measurable improvements in data trust, usability, traceability, and adoption across multiple concurrent initiatives.

• Define and own the multi-year Supply Chain Digital Excellence strategy, roadmap, and operating rhythm that improve trust, consistency, usability, and accountability across planning, sourcing, logistics, fulfillment, product, finance-adjacent reporting, and regional processes.
• Set the functional standards for critical Supply Chain data elements, ownership expectations, quality dimensions, business rules, validation logic, acceptable thresholds, stewardship routines, escalation paths, and issue-resolution decision rights.
• Lead senior-level governance reviews that move data quality work from reactive issue management to proactive risk reduction, root-cause elimination, prevention controls, and measurable business outcomes.
• Establish documentation standards for master data, reference data, KPI definitions, reporting inputs, system-of-record expectations, and business-ready data definitions to support consistent decision-making across functions and regions.
• Represent Supply Chain in enterprise data governance forums, ensuring Supply Chain priorities, tradeoffs, unresolved decisions, and data risks are clearly articulated, escalated, decided, and communicated to impacted teams.

• Define and maintain the Supply Chain digital data-thread framework that connects key data objects, systems, process milestones, handoffs, controls, ownership points, reporting uses, and performance measures across the end-to-end supply chain.
• Map how data is created, transformed, consumed, measured, and governed across priority processes, identifying conflicting definitions, duplicate data capture, manual workarounds, lineage gaps, control weaknesses, and integration opportunities.
• Translate strategic data needs into business requirements, user stories, definition-of-ready…