Stellantis
Auburn Hills, Michigan

Incentive Optimization Manager

OnsitePosted 1 week ago

Job details

Location
Auburn Hills, Michigan
Work type
Onsite
Posted
1 week ago
Apply on
myjobs.adp.com

About this role

The Incentive Optimization Manager plays a critical role in shaping datadriven incentive strategy at the regional level. This role uses market, sales, and incentive performance data to inform commercial decisions, identify optimization opportunities, and support the most effective gotomarket incentive strategies. Partnering closely with Business Centers, Brand teams, Finance, Incentives, and central analytics, the IOM translates insights into actionable recommendations that improve incentive efficiency, ROI, and commercial outcomes. 

Key Responsibilities 

  • DataDriven Decision Support 
  • Analyze regional sales performance, incentive effectiveness, and market dynamics to identify opportunities and risks. 
  • Develop standardized diagnostics to assess performance versus targets, prior year, and competitive benchmarks. 
  • Use data to inform and validate incentive proposals, ensuring decisions are grounded in clear performance insights. 
  • Incentive Strategy & GotoMarket Support 
  • Support the development and execution of regional incentive strategies aligned with commercial and VCP objectives. 
  • Partner with Business Centers and Brand teams to recommend targeted, marketspecific incentive actions. 
  • Ensure incentive strategies support the right gotomarket approach by region, DMA, brand, and nameplate. 
  • Performance Monitoring & Optimization 
  • Monitor incentive impact postlaunch, tracking sales response, market share, ROI, and unintended effects. 
  • Provide ongoing insights to refine future incentive actions and regional deployment. 
  • Identify opportunities to improve efficiency by reducing ineffective or excess incentive spend. 
  • CrossFunctional Collaboration 
  • Act as a regional point of contact between central Incentive Optimization, Business Centers, Brands, and Finance. 
  • Support governance processes by providing clear data, assumptions, and rationale for incentive decisions. 
  • Contribute to the development of common tools, standards, and best practices within the Incentive Optimization team. 

About Stellantis

Stellantis
Auburn Hills, Michigan