Senior Manager, Decision Science

This is a fully remote position, open to applicants in Ohio.

📋 Description

• Act as the primary product owner and main contact for advanced analytics that support supply chain operations.

• Develop the supply chain analytics roadmap by collaborating with stakeholders to determine priorities, set KPIs, identify performance gaps, and shape analytics initiatives aimed at enhancing business outcomes.

• Oversee the analytics product lifecycle, including managing intake, defining requirements, prioritizing backlogs, planning delivery, ensuring user acceptance, promoting adoption, and facilitating continuous improvement.

• Investigate and implement new analytics capabilities, methodologies, and best practices to enhance use cases, including AI-assisted enhancements in speed and quality.

• Coordinate execution across capability teams by collaborating with data engineering, data science, automation, IT, and other analytics teams to eliminate obstacles and ensure project delivery.

• Beyond dashboards and reports, expand into analytics deliverables such as decision tools, guided workflows, scenario analysis, recommendations, and reusable analytics products.

• Maintain and enhance the financial reporting process for the supply chain.

• Lead and nurture the team by mentoring them on analytical best practices, problem framing, product thinking, communication, and business interpretation.

• Serve as a change leader by fostering an AI-first mindset through the adoption of AI tools for productivity enhancement and beyond.

• Assess staffing requirements, recruit, train, and develop team members across various departments.

• Monitor and assess performance while implementing coaching and development strategies.

• Facilitate cross-functional collaboration within a matrix environment.

• Establish and communicate strategic objectives and measurable, time-bound goals for the team and individuals based on organizational and departmental priorities.

• Collaborate with Supply Chain, Operations, Information Technology, and other leaders to influence data management processes and oversee governance practices.

⛳️ Requirements

• Bachelor’s degree in Supply Chain, Business, Analytics, Data Science, Statistics, Engineering, Information Systems, Computer Science, or a related discipline.

• Over 8 years of experience in analytics, business intelligence, decision science, data product management, supply chain analytics, or similar analytical leadership roles.

• At least 3 years of experience leading analytics teams, product owners, BI developers, or cross-functional analytics projects.

• Proficiency in applying analytics product management practices, including intake, prioritization, backlog management, requirements definition, adoption planning, and value realization.

• Proven capability to partner with stakeholders, define KPIs, manage backlogs, influence cross-functional teams, and convert analytics into actionable business decisions.

🏝️ Benefits

• Paid time off

• Medical

• Dental

• Vision

• 401k match (50% on the dollar up to 7% of employee contribution)