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Data Engineering Manager

  • Emplacement
    • Austin, Texas
  • Type d'emploi Full time
  • Posté
  • Job Requisition JR-202620683

Description

The Role 

General Motors is seeking a data engineering manager to lead a team responsible for building and operating scalable data products that support engineering vehicle analysis, testing, diagnostics, machine learning, and downstream applications. 

This role owns the technical direction, delivery, reliability, and continuous improvement of a cloud-based engineering data platform. The platform brings together large volumes of vehicle test and engineering data from multiple sources and makes it governed, discoverable, and ready for analytics. 

The successful candidate will combine people leadership, technical judgment, product-minded execution, stakeholder management, and operational accountability. This leader will build a high-performing team and establish scalable data engineering practices across vehicle engineering and related organizations. 


What You’ll Do 

  • Lead, develop, and inspire a team of data engineers and technical leads. 
  • Set the roadmap, priorities, and execution strategy for engineering data products. 
  • Translate engineering, analytics, and machine learning needs into scalable delivery plans. 
  • Guide data ingestion, processing, transformation, cataloging, quality, and publication. 
  • Establish reusable patterns for raw, normalized, and analytics-ready data layers. 
  • Drive data quality, observability, lineage, governance, security, and operational readiness. 
  • Partner with vehicle engineering, calibration, diagnostics, performance engineering, data science, platform engineering, and product teams. 
  • Prioritize competing requests and manage scope, dependencies, risks, and delivery commitments. 
  • Support multiple data formats and high-volume engineering, telemetry, time-series, and test data. 
  • Promote reusable architecture and reduce duplicate pipelines across engineering organizations. 
  • Establish production support practices, incident response, runbooks, service health metrics, and continuous improvement. 
  • Champion automation, infrastructure as code, continuous integration and delivery, testing, and secure cloud deployment. 
  • Communicate technical strategy, delivery status, tradeoffs, and risks to senior leadership. 
  • Build strong relationships with internal customers and ensure data products are discoverable and usable. 
  • Develop talent through coaching, feedback, career planning, and meaningful technical opportunities. 
  • Lead change management as the platform expands to new data sources, users, and use cases. 

Your Skills & Abilities (Required Qualifications)

  • Bachelors degree in Computer Science, Engineering, Information Technology, Data Science, or a related field, or equivalent experience. 
  • Ten or more years of experience in software engineering, data engineering, platform engineering, or a related technical discipline. 
  • Five or more years of experience leading engineering teams, including people management responsibilities. 
  • Experience designing and operating enterprise-scale data platforms or distributed data pipelines. 
  • Experience with cloud data platforms, data lakes, lakehouse architecture, or large-scale analytics systems. 
  • Strong understanding of data modeling, data quality, metadata, lineage, governance, and access management. 
  • Experience delivering production systems with monitoring, alerting, incident response, and service-level expectations. 
  • Experience leading technical roadmaps across multiple teams and organizational boundaries. 
  • Ability to communicate complex technical concepts clearly to technical and nontechnical audiences. 
  • Demonstrated ability to manage priorities, resolve ambiguity, and deliver measurable outcomes. 
  • Strong written, verbal, analytical, and problem-solving skills. 
  • Willingness to travel occasionally based on business needs.

What Can Give You a Competitive Advantage (Preferred Qualifications)

  • Masters degree in Computer Science, Engineering, Data Science, or a related field.
  • Experience supporting automotive, mobility, manufacturing, embedded systems, vehicle testing, or engineering analytics.
  • Experience building data products used by engineering, calibration, diagnostics, simulation, or machine learning teams.
  • Experience scaling ingestion and processing for large files, high-volume telemetry, or time-series data.
  • Experience with data cataloging, business metadata, data contracts, data mesh, or domain-oriented data products.
  • Experience managing vendor, supplier, or cross-functional delivery relationships.
  • Experience establishing platform cost-management and capacity-planning practices.
  • Experience with data observability and quality tools.
  • Experience leading cloud modernization or migration from legacy data platforms.
  • Experience working in an Agile or product-oriented engineering environment.
  • Experience with Six Sigma, Lean, DevOps, or similar continuous-improvement methods.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

Ce poste est hybride. Cela signifie que le candidat retenu doit se rendre sur un site donné au moins trois fois par semaine {ou à une autre fréquence imposée par son supérieur hiérarchique}.

Le candidat retenu devra voyager régulièrement (25-50 %) dans le cadre de ce poste. 

Des avantages de relocalisation sont offerts aux candidats qui répondent aux critères de l'entreprise.

Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés.  Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi.  Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant. 

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.