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.
Must also be able to demonstrate the following knowledge, skills, and abilities:
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 demand planning methodologies (e.g., statistical forecasting, inventory optimization, forecast accuracy measurement) and how they translate into product requirements.
Skilled at identifying high-impact AI use cases that balance technical feasibility, customer desirability, and business value.
Ability to build and maintain executive-level relationships with OEM customers and internal senior stakeholders, comfortable owning those conversations directly.
Excellent strategic thinking and structured problem-solving skills, with the ability to translate ambiguous business problems and data into clear product requirements and actionable recommendations.
Ability to take initiative and ownership, and drive team and cross-functional efficiency to deliver against aggressive timelines.
Ability to thrive in a fast-paced remote work environment while maintaining quality and customer focus.
Excellent communication skills and can present product strategy and performance clearly to both customer leadership and internal executive teams.
Special Position Requirements
Willing and able to attend virtual meetings with the laptop camera on.