Parts and Service Marketing Intelligence Manager

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