General Motors

Lead Engineer – Device Level Analytics

General Motors

full-time

Posted on:

Location Type: Hybrid

Location: Bengaluru • India

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Job Level

Senior

Tech Stack

AzureCloudIoTPythonSQL

About the role

  • 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.

Requirements

  • 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.
Benefits
  • Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.
  • Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythondata analysisstatistical techniquesAIMLGenAIdata pipelinesdata visualizationSQLobject-oriented programming
Soft Skills
collaborationproblem-solvingproject managementadaptabilityorganizational skillsplanningprioritizationcreativityprocess-oriented mindsetcommunication
Certifications
Masters in Automotive technologyDegree in MathematicsDegree in StatisticsDegree in Computer ScienceDegree in information technology