Sr. Manager, Decision Science - Supply Chain Analytics

About the role

As a Sr. Manager, Decision Science - Supply Chain Analytics within the Best Buy Digital, Analytics, and Technology organization, you will partner cross-functionally to embed data-driven decision-making into the business and deliver high-impact analytic solutions that drive strategic and operational outcomes across the supply chain organization. In this role, you will leverage business context and data to identify new solution opportunities, shape the team's strategy, own work prioritization, drive development and guide technical execution, deploy solutions and measure impact. The team seeks a candidate with extensive background in problem framing and application of analytic techniques to solve business problems with measurable impact.

Responsibilities

• Lead, mentor and grow a team of individual contributors.
• Act as a trusted advisor to stakeholders, understand business challenges and identify opportunities where analytic solutions can drive improved business outcomes.
• Partner with business stakeholders to develop their requests into well-structured outcome-based engagements with clear analytic solution scope.
• Adapt to new domains and unfamiliar business challenges, quickly building context and developing effective data-driven solutions.
• Oversee the design, development and deployment of descriptive, predictive and prescriptive analytics to aide in continuous improvement of Best Buy's supply chain.
• Partner cross functionally with supply chain, technology, data operations and ML ops leaders to co-create solutions that deliver impact on operations.
• Define success metrics and determine measurement criteria for new capabilities and monitor the performance of established strategies and operations consistently.
• Effectively communicate with diverse audiences – including technical teams, business stakeholders, and executive leadership – through both written and verbal channels.

Requirements

• Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, economics, management, supply chain) or equivalent experience.
• 5+ years of experience in a quantitative, supply chain, or retail field.
• 3+ years of experience applying SQL, Python, R or similar tool and using visualization tools (e.g., Power BI, Tableau).
• 2+ years of experience leading analytics professionals/teams, directly or indirectly.

Preferred qualifications

• Master's degree in a quantitative field or business field.
• Exposure to on-prem and cloud-based analytics management.
• Exposure to agile or sprint-based work environment.
• Prior direct people leadership experience.
• Supply chain domain experience, especially in logistics, transportation or warehouse operations.
• Prior experience in retail.

Benefits

• Competitive pay
• Great employee discount
• Financial savings and retirement resources
• Support for physical and mental well-being
• Leaves of absence (LOA) and potential pay sources based on eligibility, including intermittent or reduced-schedule leave for certain medical or family care leaves
• Paid time off (vacation or PTO) for full-time and part-time employees based on work location, employment status, salary or hourly status, and years of continued or bridged service
• Incentive pay eligibility for certain roles where market norms demand it, to drive performance and recognize achievement of financial and strategic results

Schedule

This role is hybrid: required on site Monday through Thursday at the Best Buy corporate office in Richfield, Minnesota; Friday can be worked virtually from home or another non-Best Buy location.

Pay

Competitive pay; certain roles eligible for incentive pay plans (details in Incentive Programs Summary).

About the company

As part of the Best Buy team, you'll help fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life — in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future.

Position type: Full time.