Senior Manager, Data Engineering - Motorsports

General Motors is seeking a Senior Manager to lead the teams building and operating data, analytics, and AI/ML platforms for its motorsports racing programs. The role owns platform strategy and delivery, combines hands-on technical leadership with managing managers, and turns racing data into insights and tools for engineers and strategists.

Responsibilities:

• 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

Requirements:

• 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
• 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)
• 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