IT Tools Project Manager

Stellantis•Auburn Hills, MI

About The Position

Lead the integration and enhancement of digital tools to improve Quality data management and user experience, driving digital transformation and AI implementation to support internal problem-solving teams in resolving customer issues faster and more efficiently on a global scale. Oversee the selection, development, and global deployment of new digital tools, and mentor engineers while collaborating closely with cross-functional teams.

Requirements

Bachelor of Science in Computer Science, Information Technology, Data Science, Software Engineering, or a related field
10+ years of professional experience leading and delivering customer-centric database development & deployment
Proven experience in a leadership or lead-analyst role, mentoring junior team members or managing complex analytical projects
Proficiency in SQL for complex data querying, manipulation, and analysis of large datasets
Programming skills in a statistical or data science language, such as Python or R
Proficiency with Business Intelligence and data visualization tools (e.g. Tableau, Power BI, Qlik Sense) to create insightful reports and dashboards
Exceptional ability to interpret complex technical and financial data, distill key findings, and propose practical solutions
Excellent verbal and written communication skills with the ability to clearly articulate complex technical analysis to both technical and non-technical audiences, including executive leadership
Demonstrated ability to lead projects, drive change across cross-functional teams, and influence key stakeholders without direct reporting authority
Rigorous attention to detail to ensure the accuracy and integrity of all data and analytical reports
Ability to translate ambiguous business questions into structured analyses and measurable metrics
Able to multi-task with strict timelines
A team player with great communication and coordination in a team environment

Nice To Haves

Master of Science in Database Management or Information Systems or B.Sc. in Artificial Intelligence or specific focus or concentration with AI
5+ years working in the automotive field with focus on Quality or warranty systems
Familiarity with warranty management systems (e.g. Global Warranty Management) and enterprise data environments (e.g. data lakes, cloud platforms like AWS, Azure, or GCP)
Experience with machine learning frameworks and modeling for predictive maintenance or failure prediction
Prior experience working directly with automotive dealer management systems (DMS) data
Hands-on experience with LLMs, prompt engineering, agent frameworks, or orchestration tools
Familiarity with data relationships and user interfaces using high-level programming languages such as Visual Basic.net, C++, C#, Java, and Python

Responsibilities

Own the definition, deployment, and performance of digital tools supporting Quality processes across the organization.
Ensure a single source of truth for Quality data, enabling reliable KPIs, audits documents, investigations, and decision-making.
Drive digital transformation within Quality, aligning IT and digital capabilities (new features, continuous improvement…) with business and regulatory needs. Be proactive to accept and identify new opportunities for efficiency.
Support performance improvement, including reduction of non-quality and warranty costs through effective digital solutions.
Manage the reliability and evolution of Quality digital tools.
Lead the integration of legacy digital tools that affect quality data sources and enhance existing applications using cutting-edge tools, including artificial intelligence, to improve the user experience for internal problem-solving employees.
Lead the selection, development, and deployment of new digital tools that are required to satisfy business requirements.
Uncover both the apparent and underlying costs embedded in existing workflows and implement new tools and solutions that drive company value while reducing time and expenses.
Implement production-grade AI agents that execute multi-step workflows, make context-aware decisions, and integrate with enterprise systems through APIs, microservices, and workflow platforms.
Take ownership of critical services, influence technical direction, and mentor engineers while partnering closely with ICT, Engineering, and leadership teams.
Identifies data definition, structure, long-range requirements, documentation of database(s), operational guidelines and protection.
Assist in establishing database standards and guidelines.
Work with ICT to migrate server data and set up data algorithms to normalize and ingest information.
Create executive-ready storytelling: clear visuals, concise narratives, and recommendations based on evidence.
Generate a book of ideas based on hands-on knowledge of Quality workstreams. Prioritize the ideas based on immediate need and value generation and work to implement successful Proof of Concepts.
Deliver results that meet corporate targets, for example: Reduction of warranty cost, project lead-time, and kPPM.