Director, Supply Chain Analytics

W.W. Grainger, Inc.•Lake Forest, IL

56d•Hybrid

About The Position

The Director, Supply Chain Analytics leads the data science and operations research strategy for Grainger's end-to-end supply chain. This role drives innovation through advanced analytics and optimization to enable data-driven decisions and deliver measurable business impact. The Director builds and empowers high-performing teams that design, develop, and deploy predictive and optimization models that enhance service, and efficiency across the network. The leader partners closely with senior supply chain, AI/ML, and technology leaders to define critical capabilities, prioritize opportunities, and help chart the path forward for Grainger's supply chain.

Requirements

Bachelor's Degree or equivalent experience in Data Science, Computer Science, Statistics, Mathematics or a related field required
10+ years in Data Science or Analytics required
Advanced knowledge of machine learning, statistical modeling, and predictive analytics.
Proficiency in Python, R, SQL, and cloud platforms (AWS, Azure, GCP).
Ability to define and execute a data science strategy aligned with business goals.
Skill in translating complex analytics into clear, actionable insights for diverse audiences.
Strong ability to influence and partner across a matrixed organization at senior levels to drive impact.
Proven ability to build and lead high-performing teams and foster a culture of collaboration and innovation.

Nice To Haves

Master's Degree or equivalent experience in Data Science, Computer Science, Statistics, Mathematics or a related field preferred

Responsibilities

Lead and develop a high-performing analytics team that uses data science, operations research, and machine learning to solve complex supply chain challenges and foster a culture of collaboration and innovation.
Define and execute a supply chain analytics strategy aligned with Grainger's priorities to drive measurable gains in service, productivity, and network efficiency.
Partner with Supply Chain Optimization and cross-functional teams to identify where advanced analytics and optimization can deliver impact and shape future capabilities.
Oversee the design, development, and deployment of predictive and optimization models with analytical rigor, production scalability, and disciplined governance throughout the model lifecycle.
Champion analytics across the supply chain by explaining complex ideas clearly and advocating for data-driven decisions at all levels.
Collaborate with senior leaders to align strategic priorities and integrate analytics solutions into core operations.
Develop and mentor analytics talent through coaching, growth opportunities, and clear career paths to strengthen Grainger's long-term analytics capability.
Stay current on emerging technologies in data science, optimization, and AI/ML to keep Grainger at the forefront of supply chain innovation.

Benefits

With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:
Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

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