DLA - Senior Engineer

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.

Global Manufacturing Engineering at GMTCI is a bridge between Global Manufacturing Plants & Global Product Engineering in getting the Product & Process Right. GMTCI’s strategy is to “Execute Design / Simulation / Virtual /   Engineering   Workshare for the Globe + Enable Factory for the Future”     This position of Manufacturing Data Analytics Engineer is a Mfg 4.0 initiative in ME Vehicle Systems Automation Group which is primarily responsible for   applying   D ata   A nalytics   techniques   on GM manufacturing processes in   GM   manufacturing plants   across   the globe   to solve complex manufacturing business problems   with big data.   In this position , the engineer supports   critical business operations and decision making through   creation   domain data exploration,   data processing pipeline ,   and   business intelligence   reports .     This is primarily a non-travel job. Business   t ravel will be necessary   on   special requirements and will be for a short duration. Depending on the need, there will be an International   Short-Term   assignment for 6 months in the first year for training & development.

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 , i nterpret and communicate insights to various teams and leaders to enhance and streamline processes.    Apply manufacturing domain knowledge and IoT knowledge to d evelop 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 / Bachelor's Degree in Automotive technology, Mathematics, Statistics, Computer Science, or information technology.   4-10 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