Senior Manager, Decision Science

Dealer Tire is a family-owned international distributor of tires and parts established in 1918 in Cleveland, OH. We’re laser focused on helping the world’s largest and most trusted auto manufacturers grow their tire business—over 60million tires sold to date. We’re a thriving company and we’re looking for driven individuals to join our team.

Base Pay Range: $143,208 - $180,000

The Senior Manager, Decision Science will lead Dealer Tire’s supply chain analytics capability across analytics product ownership, business intelligence, and decision intelligence. This role manages decision scientists, product owners, and BI developers while acting as a player‑coach who raises team capability, applies analytical best practices, and delivers value from dashboards, reports, and decision‑oriented tools.

• Serve as lead product owner and point of contact for advanced analytics supporting supply chain operations.
• Define the supply chain analytics roadmap by partnering with stakeholders to identify priorities, establish KPIs, diagnose performance gaps, and shape analytics initiatives that improve business outcomes.
• Manage the analytics product lifecycle by overseeing intake, requirements, backlog prioritization, delivery planning, user acceptance, adoption, and continuous improvement.
• Explore and introduce new analytics capabilities, techniques, and best practices, including AI‑assisted improvements in speed and quality.
• Coordinate execution across capability teams – working with data engineering, data science, automation, IT, and other analytics teams to remove barriers and deliver projects.
• Expand deliverables beyond dashboards and reports to include decision tools, guided workflows, scenario analysis, recommendations, and reusable analytics products; maintain and improve the supply chain financial reporting process.

Determine staffing needs, hire, train, and develop team members. Monitor and evaluate performance, implement coaching and development plans, and lead cross‑functional collaboration within a matrix environment. Develop and communicate strategic objectives and measurable time‑based goals for the team and individuals based on business and department priorities. Partner with Supply Chain, Operations, Information Technology, and additional leaders to influence data management processes while overseeing governance practices.

• Bachelor’s degree in Supply Chain, Business, Analytics, Data Science, Statistics, Engineering, Information Systems, Computer Science, or a related field.
• 8+ years of experience in analytics, business intelligence, decision science, data product management, supply chain analytics, or related analytical leadership roles.
• 3+ years of experience leading analytics teams, product owners, BI developers, or cross‑functional analytics initiatives.
• Experience applying analytics product management practices, including intake, prioritization, backlog management, requirements definition, adoption planning, and value realization.
• Demonstrated ability to partner with stakeholders, define KPIs, manage backlogs, influence cross‑functional teams, and translate analytics into practical business decisions.

• Results Orientation
• Strategic Thinking
• Critical Thinking
• Organizational Agility
• Influence & Leadership
• Resource Optimization
• Provide Direction
• Understand and Apply Data
• Relationship Building
• Business Acumen

Continuous viewing and inputting data; ability to sit for extended periods and view computer screens frequently.

As necessary,