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Stellantis

AI Solutions & Automation Product Manager-Operations

Stellantis

H1B ✓On-sitemanagerPosted March 27, 2026

About the Role

The Product Manager is responsible for driving the identification, design, piloting, and scaling of AI and automation solutions across North America Parts & Service to optimize workflows and enhance customer/employee experience. Key duties involve discovering high-value use cases, leading solution pilots from design to iteration, developing deployment strategies, and measuring solution performance against defined KPIs.

Requirements

Candidates must possess a Bachelor's degree in a relevant field and a minimum of 8 years of experience delivering digital, automation, or analytics solutions in a cross-functional setting. Essential qualifications include strong business analysis, process decomposition skills, experience with workflow automation tools like Power Automate or M365 Copilot, and a solid understanding of AI capabilities and risks.

Full Job Description

The AI Solutions & Automation Product Manager drives the identification, design, pilot, and scaling of AI and automation solutions across North America Parts & Service. The role partners with business functions, ICT, AI strategists, data teams, and the Parts & Services AI Champion network to deliver measurable impact through workflow optimization, improved customer and employee experience, and digital process transformation.

 

This role exists to support the broader organizational mission to accelerate digital transformation and scale AI adoption across Stellantis NA P&S and reports to the Head of NA Parts & Services Aftersales Technology.

 

Key Responsibilities:

1. Use Case Discovery & Prioritization

  • Partner with assigned business domains to identify high-value AI, Copilot, and other low-code/no-code automation opportunities.
  • Conduct process mapping and problem analysis to define requirements and value hypotheses.
  • Maintain and refine the domain-specific opportunity backlog.

2. Solution Design & Pilot Execution

  • Translate business needs into clear user stories, requirements, and acceptance criteria.
  • Lead pilot cycles end-to-end: design → test → evaluate → iterate.
  • Partner with ICT, data engineering, and automation teams to ensure feasibility and solution integration within corporate governance requirements.

3. Scaling & Adoption

  • Develop deployment playbooks, documentation, and training assets.
  • Work with business leaders, frontline teams, and AI Champions to embed AI into daily operations.
  • Create reusable templates, prompt libraries, workflows, or automation components.

4. Measurement & Governance

  • Define KPIs and measure solution performance, productivity impact, and financial outcomes.
  • Ensure compliance with Stellantis’ Responsible AI and Data Governance frameworks.
  • Support change‑management activities to strengthen adoption readiness.
Qualifications

Basic Qualifications:

  • Bachelor’s degree in information technology, computer science, data analytics/insights, engineering, finance/accounting, business administration, or related field
  • Minimum 8 years of relevant experience delivering digital/automation/analytics solutions in a cross-functional environment
  • Strong business analysis and process decomposition skills
  • Experience with workflow automation (Power Automate), M365 Copilot, or low/no-code
  • Ability to manage pilots and rapid execution cycles
  • Excellent communication and stakeholder engagement
  • AI literacy: understanding capabilities, limitations, risks, and responsible use
  • Project management proficiency, including task prioritization and timeline management
  • Ability to collaborate effectively with cross-functional teams (business, ICT, data, and operations)
  • Strong problem-solving and critical thinking abilities

Preferred Qualifications:

  • Experience and strong business acumen in the automotive industry and aftersales business
  • Prior work in product management, operations, or digital transformation
  • Familiarity with data governance, data quality, data engineering, and IT/ICT delivery models
  • Understanding of change management principles and user adoption strategies
  • Experience with business intelligence tools (e.g., Power BI, Tableau) for performance measurement
  • Experience with Python, R, SQL, Java, and Scala
  • Knowledge of responsible AI and data privacy best practices

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Compensation

AI Est. Total Comp

$193,000

Details

Location

Auburn Hills

Work Type

On-site

Seniority

manager

Experience

5-10 years

Category

ml ai

Quality Score

5.7

Key Skills

Use Case DiscoveryProcess MappingSolution DesignPilot ExecutionScalingAdoptionKPI DefinitionGovernanceWorkflow AutomationM365 CopilotLow-CodeNo-CodeAI LiteracyStakeholder EngagementChange ManagementProblem Solving