Lead Engineer Device Level Analytics

Job Description

Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g. H-1B TNSTEM 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 thebusiness.

What Youll Do

• 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

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

Accommodations

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