Program Manager-AI Powered Issue Management

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At Stellantis, we're breaking with the past and launching a new software organization built from the ground up. Our mission is to design the most captivating experiences in Mobility, bringing "tomorrow's" tech innovations closer to today, every day. If you're ready to help lead this automotive technology transformation, we want to hear from you. Stellantis was founded in 2021 as the result of a merger between Fiat Chrysler Automobiles and PSA Groupe.

Role Overview:

The Program Manager is responsible for planning, coordinating, and executing technical projects within the Quality Data & Analytics Solutions Program. This role ensures that solutions are delivered on time, within scope, and meet quality standards, working closely with Product Managers, Solution Architects, and engineering teams.

Key Responsibilities:

• Develop and manage detailed project plans, schedules, and deliverables.
• Coordinate cross-functional teams to ensure alignment and timely execution.
• Identify and mitigate risks, resolve issues, and remove roadblocks.
• Track progress against milestones and report status to program leadership.
• Facilitate PI Planning, Agile ceremonies and ensure adherence to best practices.
• Lead capacity and budget planning for assigned projects.
• Ensure technical feasibility and alignment with architectural standards.
• Drive continuous improvement in project delivery processes.

Success Metrics:

• On-time and on-budget delivery of technical projects, QCTP (Quality, Cost, Time & Performance)
• Effective risk management and issue resolution.
• High team performance and stakeholder satisfaction.

Organizational Context & Collaboration:

• All roles operate within a blended team structure, collaborating across program and functional teams.
• Stakeholder engagement and alignment are shared responsibilities, with program teams owning final commitments and communication.
• Agile methodologies, regular reviews (MBR), and continuous feedback are core to the ways of working

Basic Qualifications:

• BA/BS in Computer Science, Engineering, Mathematics, or a related technical discipline
• 8 years of professional experience

Preferred Qualifications:

• Experience with cloud-based data platforms and services (e.g., AWS, Azure)
• Familiarity with IoT (Internet of Things) data processing and analytics
• Knowledge of automotive manufacturing processes, supply chain operations, and customer experience
• Ability to translate complex technical concepts into clear and concise business language
• Strong problem-solving and critical thinking skills
• Understanding of data governance, data quality, and data security best practices
• Fluent in English