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Senior Manager, Data Engineering - Motorsports

  • 위치
    • Remote
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202621871

설명

The Role

GM Data Engineering is seeking a Senior Manager to lead the teams that build and operate the data, analytics, and AI/ML platforms behind GM Motorsports' racing programs across Formula 1, NASCAR, IndyCar, IMSA, and beyond. You will own the strategy and delivery a data infrastructure that turns high-frequency telemetry, simulation, aero, and trackside data into insights that race engineers and strategists trust, at the track, and between events.

This is a leader-of-leaders role with a significant individual contributor component. You will lead the Motorsports Data Infrastructure and Motorsports Data Science teams through their managers, and bring them together into a single delivery model for data platforms, strategy tools, and AI/ML. You will also stay hands-on as the senior technical authority: setting architecture, reviewing and writing production code, and tackling the hardest problems directly. You will partner closely with Competition Engineering, Vehicle Performance, and Race Strategy, and technical partners to deliver customer facing features.


What You'll Do

  • Lead and develop the Motorsports Data Infrastructure and Data Science managers and their teams, growing technical leaders and a shared culture of engineering excellence.
  • Integrate data engineering, software, and data science into one roadmap and operating model, from raw telemetry through models and the strategy tools race engineers use.
  • Contribute hands-on as the senior technical lead: architect pipelines and platforms, prototype ML and GenAI solutions, review code, and support critical issues during race weekends.
  • Own the motorsports data platform roadmap, covering ingestion, streaming, lakehouse, governance, and AI/ML enablement, and align it to program priorities and the race calendar.
  • Unify real-time and batch data pipelines into a cohesive platform processing telemetry, timing and scoring, and trackside data using Databricks, Delta Lake, Kafka/Event Hubs, and Spark/Flink streaming.
  • Lead the productionization of ML models to drive a competitive edge across race programs using MLflow-based MLOps.
  • Drive the adoption of AI coding tools, assistant platforms, and software development best practices across the engineering teams.
  • Set engineering standards for CI/CD, Terraform, automated testing, data quality, observability, and SLOs on race-critical systems.
  • Protect competition-sensitive data through security, access control, and IP safeguards across GM, race teams, and partners.
  • Manage Azure and Databricks cost and capacity, along with vendor and partner relationships.
  • Communicate strategy, progress, and trade-offs to Motorsports and GM senior leadership.

Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • 10+ years in data engineering, software engineering, or data science, delivering production distributed data platforms.
  • 5+ years leading engineering or data science teams, including managing managers, while remaining an active technical contributor.
  • Deep expertise with Azure Databricks (Spark, Delta Lake, Unity Catalog, Workflows/DLT) and Azure data services (ADLS, Event Hubs, AKS, Key Vault).
  • A proven record of taking ML/AI into production, including feature engineering, model lifecycle, MLOps, and monitoring.
  • Experience with real-time streaming and high-frequency time-series data.
  • Strong Python and SQL skills, plus experience with CI/CD, Git, and infrastructure-as-code.
  • The ability to deliver under hard, deadline-driven schedules and to explain complex topics to engineering and executive audiences.

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Experience leading both software/data engineering and data science functions.
  • Experience with motorsports, automotive, or high-performance engineering data, such as vehicle dynamics, simulation, or aero correlation.
  • Experience with Databricks AI capabilities, including Mosaic AI, Vector Search, Feature Store, Model Serving, and Genie.
  • GenAI/LLM application experience, including RAG, agents, and evaluation.
  • Experience with cloud architectures in low-latency or bandwidth-constrained environments.
  • Experience standing up new programs or scaling teams through rapid growth.

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.)

이 직무는 재택 직무로 분류됩니다. 즉, 선발된 지원자는 근무 국가 어디에서든 근무할 수 있으며, 관리자의 지시가 없는 한 GM 사업장에 출근하지 않아도 됩니다.

Relocation 지원 혜택은 회사 정책에 따라 자격이 되는 지원자에게 제공됩니다.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.