Senior Decision Science Lead — Supply Chain Analytics

Dealer Tire; Cleveland (OH); On-site; USD 143,208 - 180,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) match

Job summary

Dealer Tire in Cleveland, OH is seeking a Senior Manager, Decision Science to lead the supply-chain analytics capability, spanning product ownership, BI, and decision science. You will guide a team of decision scientists, product owners, and BI developers, driving value from dashboards, reports, and AI-powered tools.

You will define the analytics roadmap with KPIs, manage the product lifecycle, and foster an AI‑driven culture across cross-functional teams, partnering with data engineers, IT, and

Qualifications

• Bachelor’s degree in a related field (e.g., supply chain, analytics, data science).
• 8+ years of analytics, BI, decision science, or related leadership experience.
• 3+ years leading analytics teams, product owners, or BI developers.
• Experience applying analytics product management practices (backlog, intake, adoption).
• Proven ability to partner with stakeholders, define KPIs, and translate analytics into business decisions.

Responsibilities

• Lead analytics product ownership for supply-chain analytics capabilities.
• Define analytics roadmap with KPIs and priorities.
• Oversee analytics lifecycle from intake through adoption.
• Introduce AI-powered analytics and improve speed/quality.
• Coordinate across data engineering, IT, and other analytics teams.
• Develop dashboards, reports, and decision tools.
• Lead and coach analytics team; foster AI-first mindset.

Skills

Analytics leadership

Stakeholder partnership

KPIs definition

Backlog management

Cross-functional collaboration

Education

Bachelor’s degree in related field

Job description

Dealer Tire in Cleveland, OH is seeking a Senior Manager, Decision Science to lead the supply-chain analytics capability, spanning product ownership, BI, and decision science. You will guide a team of decision scientists, product owners, and BI developers, driving value from dashboards, reports, and AI-powered tools.

You will define the analytics roadmap with KPIs, manage the product lifecycle, and foster an AI‑driven culture across cross-functional teams, partnering with data engineers, IT, and