Sr. Product Manager - Supply Chain

Oec; United States; On-site; USD 130,000 - 170,000; Full time

Job summary

Oec is seeking a senior product leader to define and execute strategies embedding AI into product capabilities and internal processes. You will own the supply chain forecasting and demand planning initiatives, driving measurable improvements in productivity and revenue while partnering with Product, Engineering, Data Science, Operations, and Customer-facing teams.

You will lead end-to-end product lifecycle from opportunity discovery through design, launch, and continuous iteration, aligning

Qualifications

• Bachelor's degree in a related field or equivalent work experience.
• 6+ years in product management with full lifecycle ownership.
• 3+ years leading AI/ML or data-driven product initiatives from concept to launch.
• Experience defining and tracking product KPIs and designing experiments.

Responsibilities

• Defines and executes AI-enabled strategies across product capabilities and internal processes.
• Owns end-to-end product lifecycle from opportunity to post-launch iteration.
• Prioritizes opportunities for AI-driven automation and data-driven insights.
• Translates business problems into clear product requirements with Engineering/Data Science.
• Defines success metrics and experimental designs (A/B tests, pilots).
• Collaborates with OEM field teams and success teams for dealer adoption and ROI.
• Aligns go-to-market strategy, positioning, and pricing for new supply chain capabilities.
• Delivers performance reporting to OEM customers and leadership, tying outcomes to impact.
• Acts as escalation point for product issues and educates stakeholders on AI opportunities and risks.
• Monitors adoption and performance, iterating the roadmap based on data and feedback.
• Guides strategy for supply chain forecasting and demand planning for accurate models.

Education

Bachelor's degree

Job description

Job Summary

Defines and executes strategies that embed AI into both product capabilities and internal processes, shifting to intelligent, scalable, and automated systems, while owning the strategy for core supply chain forecasting and demand planning capabilities. Improves efficiency, accelerates execution, and enhances product performance including automation, decisioning, forecasting, and data-driven insights. Partners across Product, Engineering, Data Science, Operations, and Customer facing teams to deliver solutions that drive measurable outcomes in productivity, revenue, and customer experience. Owns product strategy from opportunity identification and market analysis through definition, build, launch, and continuous iteration.

Key Responsibilities

• Develops a deep understanding of marketplace requirements, customer needs, and competitive dynamics in automotive supply chain to apply to continuous product improvements.


• Owns the end-to-end product lifecycle - from opportunity identification and requirements definition through design, development, launch, and post-launch iteration.


• Identifies, prioritizes, and builds the business case for high-impact opportunities to apply AI-driven automation, decisioning, and data-driven insights across both customer-facing products and internal operating processes.


• Partners closely with Engineering and Data Science to translate business problems into clear, well-scoped product requirements, evaluating feasibility, trade-offs, and technical approach.


• Defines success metrics and experiment designs (e.g., A/B tests, pilots) to validate product hypotheses and quantify impact on productivity, revenue, and customer experience.


• Partners with OEM field teams and internal Success teams to develop strategic post-launch campaigns that maximize dealer adoption and program ROI.


• Partners with Sales, Marketing, and Product leadership to align go-to-market strategy, positioning, and pricing for new Supply Chain product capabilities.


• Develops and delivers product and program performance reporting and insights to OEM customers and OEC leadership, ensuring outcomes are clearly tied back to business impact.


• Act as an escalation point for product-related issues, driving timely resolution and communicating outcomes to internal and external stakeholders.


• Serves as a subject-matter expert on applying AI within automotive supply chain, educating stakeholders and leadership on opportunities, risks, and responsible-AI considerations where relevant.


• Monitors adoption and performance of the product and features, iterating the roadmap based on usage data, customer feedback, and business results.


• Helps to guide the strategy and roadmap for supply chain forecasting and demand planning capabilities, ensuring models and tools reflect sound forecasting methodology and deliver actionable accuracy for customers.

Education

A bachelor's degree from an accredited college or university is required, with a focus Ain Information Technology, Computer Science, Data Science, Supply Chain Management, Operations Statistics, Business or related discipline. In the absence of a degree, equivalent work experience directly related to the key responsibilities of the role will be considered as a substitute for the degree.

Experience

At least 6 years of product management experience with a background that includes full product lifecycle ownership (market/opportunity analysis, requirements definition, development partnership, launch, and iteration), at least 3 years leading AI/ML-powered or data-driven product initiatives from concept through launch, prior experience defining and tracking product KPIs and designing experiments (e.g., A/B testing, pilots) to validate product hypotheses, plus a proven track record of leading complex, cross-functional AI or data-driven product initiatives from concept through steady-state performance.

• Working knowledge of the AI/ML product development lifecycle, data pipelines, model evaluation, human-in-the-loop design, and responsible AI practices.


• Deep automotive industry domain expertise, including familiarity with OEM programs, dealer operations, and automotive supply chain workflows.


• Working knowledge of supply chain forecasting and

Special Position Requirements

Willing and able to attend virtual meetings with the laptop camera on.