Lead Engineer - Device Level Analytics

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.

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