AI Engagement Lead - Global Manufacturing Electrical & SDV

Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Global Manufacturing Electrical & SDV is looking for innovators who thrive in tough challenges and are passionate about tackling meaningful work that will shape the future of the automotive industry. This isn't a role for those looking for an easy path-it's for those who embrace change, push through obstacles, and take ownership of complex problems. While there will be long days and moments that test your resilience, you'll find purpose in your work, flexibility to prioritize your family, and the support of a people-first culture. If you're ready to grow, thrive, and make a real impact, we'd love to hear from you.

WHY: Y ou will enable plants to achieve world-class EFTQ, electrical performance, and SDV readiness by turning complex plant and electrical data into actionable insights and training that improve quality, efficiency, and cost on the plant floor.

• Build strong, trust-based relationships with plant stakeholders and deliver hands-on training that accelerates adoption of AI and analytics tools in partnership with the Process & Standards team.
• Align local initiatives with the global manufacturing strategy by standardizing data, KPIs, and best practices, and regularly report progress and results to central ME and leadership.
• Collaborate with Global Manufacturing Engineering to shape centralized strategy, roadmaps, best practices, and governance, ensure work is globally aligned and project tracking/reporting is transparent to the central ME team.
• Design and deliver end-to-end data, AI/ML, and BI solutions that improve manufacturing efficiency, quality, and overall operational performance.
• Use data, analytics, and AI solutions to identify root causes, predict potential failures, reduce defects, and improve End-of-Line Electrical First Time Quality (EFTQ) across manufacturing floors.
• Design, build, and maintain robust data pipelines and models (aligned with the Medallion architecture) to ensure accurate, reliable manufacturing and electrical data.
• Develop and maintain Power BI dashboards, reports, and paginated reports that give plant and leadership teams clear, actionable insights.
• Apply statistical and machine learning techniques to detect trends, predict issues, and enable proactive, data-driven decision-making.
• Integrate analytics and AI solutions into existing systems and plant workflows in close collaboration with IT, ME, and Quality teams.

• Strong collaboration and stakeholder-management skills, including experience training audiences across roles and levels.
• Advanced proficiency in SQL, Power BI, and data modeling, including experience working with large, complex data sets.
• Proven experience with ETL processes and data transformation from raw data to curated tables and models.
• Strong proficiency in Power Query (M), DAX, and paginated reports.
• Excellent problem-solving, critical-thinking, and communication skills, with the ability to explain complex analysis to non-technical stakeholders.
• Demonstrated ability to thrive in a fast-paced environment with tight deadlines and frequently changing priorities.
• Knowledge of manufacturing quality systems and processes.
• Experience in production and/or quality environments.

• 3+ years of experience in data analytics within a manufacturing or industrial environment.
• 3+ years of experience with end-to-end BI development (requirements, modeling, development, and deployment).
• 3+ years of experience leading change management initiatives, including user training, communication, and driving adoption of analytics and BI solutions across diverse stakeholder groups.
• Experience with cloud-based data and analytics platforms (e.g., Databricks or similar).
• Vehicle program launch and/or vehicle assembly manufacturing experience.
• Demonstrated ability to integrate analytics and AI solutions into plants, MES, and IT systems and operational workflows.
• Proven track record of driving measurable business outcomes through data and AI.
• Bachelor's degree or equivalent experience in computer science, data science, engineering.