Parts and Service Marketing Intelligence Manager

5 days ago

Auburn Hills, United States Stellantis Full time

The Opportunity: It is an exciting time at Stellantis Parts & Services as we aspire to be the Lead Provider of Service Solutions for All Vehicles, All Brands and All Customers. We are no longer just a traditional OE business unit. We are well on our way to become a comprehensive 360° aftermarket player, offering a full range of products and services that address the evolving needs of our customers, enabling us to enhance customer retention and cultivate long-term loyalty throughout the entire vehicle lifecycle   Mission: To lead the global marketing intelligence function by delivering actionable customer insights, orchestrating research methodologies, optimizing budget efficiency, and ensuring strategic impact across global and regional P&S stakeholders.   Key Responsibilities: Customer Research & Insights Design, manage, and execute global customer surveys (quantitative and qualitative). Lead global product clinics, subscription studies, and willingness-to-pay research. Translate insights into strategic recommendations to support product, marketing, and service decisions  Budget Management & Efficiency Oversee the global P&S MI budget, ensuring optimal allocation and ROI. Identify synergies across brands and regions to streamline research investments  Stakeholder Engagement & Activation Ensure insights are activated through compelling storytelling and integrated into decision-making processes. Collaborate with global functions, brands, and regional teams to align intelligence with business priorities. Ensure proper storage, accessibility, and obsolescence management of insights and deliverables. Methodology & Standards Leadership Serve as the methodological reference for customer research, ensuring consistency, neutrality, and rigor. Maintain and evolve best practices in data collection, analysis, and reporting  Cross-Functional Collaboration Act as a central orchestrator of the MI ecosystem, fostering collaboration across Product, Brand, Data Science, and Strategy teams. Lead initiatives like naming governance, trend foresight, and customer segmentation. Data Strategy & Tools Support the development of unified customer knowledge platforms (e.g., data lakes, dashboards). Promote the use of advanced analytics tools (e.g., MTab, Databricks) to enhance insight generation 

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