Lead Engineer - Device Level Analytics

Responsibilities

• Collaborate with plant teams, SMEs, IT departments, and the analytics community to capture, prioritize, and document data analytics requirements, driving measurable results.
• Extract data using existing IoT solutions and big data sources, conduct thorough analysis, perform testing, and validate outcomes.
• Analyze datasets to identify trends and patterns, interpret and communicate insights to various teams and leaders to enhance and streamline processes.
• Apply manufacturing domain knowledge and IoT knowledge to develop proof of concepts to address complex manufacturing challenges.
• Propose solutions and strategies to business challenges that drive significant impact.
• Monitor the health of data collection pipelines, report issues, and follow up with responsible teams.
• Write user stories and frameworks for the IT development team to productize the self developed solutions.
• Present complex information through data visualization techniques.
• Provide training and guidance to business partners on data analysis methodologies, reporting, and tools.
• Your Skills & Abilities (Required Qualifications)
• Masters / Degree in Automotive technology, Mathematics, Statistics, Computer Science, or information technology.
• 10+ years of experience in any Automotive company or Data Analytics environment.
• Proficient in Python (preferred) or any object-oriented programming languages.
• Expert in data analysis, including identifying patterns, extracting valuable insights, and providing data-driven recommendations to support decision-making.
• Proficient in applying statistical techniques, utilizing analytical tools, and AI/ML/GenAI for given business problem.
• Experienced in working with data pipelines, PowerBI, SQL queries, Git, Databricks, Azure cloud services, and DevOps/MLOps/LLMOps.
• Familiarity with IoT data collection methods and solutions.
• Familiarity with automotive production processes, industrial automation, throughput analysis, and industrial engineering is considered an added advantage.
• Ability to learn quickly and adapt to new challenges.
• Exceptional collaboration skills and the ability to build strong relationships.
• Process-oriented mindset with a focus on efficiency and effectiveness.
• Outstanding project management skills within an agile environment.
• Demonstrates creativity in problem-solving, thinking dynamically and beyond industry norms, and adapting swiftly to new technical areas.
• Proficiency in collaborating with intercultural, multi-disciplinary, and remote teams to achieve functional objectives.
• Strong organizational, planning, and prioritization skills, with a meticulous approach to project execution.
• Readiness to travel across regions as necessary for project implementation.
• About GM
• Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
• Why Join Us
• We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
• Non-Discrimination and Equal Employment Opportunities
• Accommodations

Benefits

Additional Information

Job Description Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.

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