Decision Science & Supply Chain Analytics Leader

Dealer Tire, LLC; Ohio; On-site; USD 143,208 - 180,000; Full time

Job summary

Dealer Tire, LLC is seeking a Senior Manager, Decision Science to lead supply chain analytics across analytics product ownership, business intelligence, and decision tools. You will guide a team of decision scientists, product owners, and BI developers while driving value from dashboards and decision support.

The role emphasizes AI‑assisted improvements, cross‑functional collaboration, and delivering measurable business outcomes through analytics innovations.

Qualifications

• Bachelor’s degree in a related field.
• 8+ years of experience in analytics, business intelligence, decision science, or related leadership roles.
• 3+ years of experience leading analytics teams, product owners, BI developers, or cross‑functional initiatives.
• Experience applying analytics product management practices, including intake, prioritization, backlog management, and value realization.
• Ability to partner with stakeholders, define KPIs, manage backlogs, and translate analytics into practical decisions.

Responsibilities

• Serve as lead product owner and point of contact for advanced analytics supporting supply chain operations.
• Define the analytics roadmap by partnering with stakeholders to identify priorities and KPIs.
• Manage analytics product lifecycle from intake to adoption and continuous improvement.
• Introduce new analytics capabilities and AI‑assisted improvements in speed and quality.
• Coordinate with data engineering, data science, automation, IT, and other teams to deliver projects.

Skills

Analytics leadership

Stakeholder partnership

Backlog management

KPIs definition

Cross-functional leadership

Education

Bachelor's degree

Tools

Business Intelligence tools

Job description

Dealer Tire, LLC is seeking a Senior Manager, Decision Science to lead supply chain analytics across analytics product ownership, business intelligence, and decision tools. You will guide a team of decision scientists, product owners, and BI developers while driving value from dashboards and decision support.

The role emphasizes AI‑assisted improvements, cross‑functional collaboration, and delivering measurable business outcomes through analytics innovations.