Senior Manager, Decision Science

Dealer Tire•Cleveland, OH

3d•Onsite

About The Position

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 serving as a player-coach who raises team capability, models analytical best practices, and helps deliver value from analytics assets ranging from dashboards and reports to decision-oriented tools.

Requirements

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

Responsibilities

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 to apply to use cases including AI-assisted improvements in speed and quality.
Coordinate execution across capability teams by working with data engineering, data science, automation, IT, and other analytics teams to remove barriers and get projects delivered.
Diversify into analytics deliverables of decision tools, guided workflows, scenario analysis, recommendations, and reusable analytics products.
Maintain and improve the supply chain financial reporting process.
Lead and develop the team by coaching the team on analytical best practices, problem framing, product thinking, communication, and business interpretation.
Act as a change leader, instill AI-first mindset through adoption of AI tools for productivity improvement and beyond.
Determine staffing needs, hire, train, and develop team members across the department(s).
Monitor and evaluate performance and implement coaching and development plans.
Lead cross-functional collaboration within a matrix environment.
Develop and communicate strategic objectives and measurable time-based goals for team and individuals based on business and department priorities.
Partner with Supply Chain, Operations, Information Technology, and additional leaders to influence the data management processes while overseeing governance practices.
Other Duties as Assigned