Senior Manager, Motorsports Data & AI Platforms

Motorsport Media Ltd; Carolina (PR); Remote; USD 180,000 - 240,000; Full time

Job summary

General Motors' GM Motorsports division seeks a Senior Manager to lead the Data Infrastructure and Data Science teams powering telemetry, simulation, aero, and trackside data. You will own the strategy and deliver data platforms and AI/ML tools, while remaining hands-on as the senior technical authority during race weekends.

This remote leadership role partners with Competition Engineering, Vehicle Performance, and Race Strategy to deliver customer-facing features across programs worldwide.

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).
• 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.
• Ability to deliver under hard, deadline-driven schedules and to explain complex topics to engineering and executive audiences.

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.

Skills

Azure Databricks

Real-time streaming

Python

SQL

CI/CD

Git

Infrastructure-as-code

ML/AI production

Communication to executives

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Tools

Databricks

Delta Lake

Kafka/Event Hubs

Spark/Flink

Azure data services

Job description

General Motors' GM Motorsports division seeks a Senior Manager to lead the Data Infrastructure and Data Science teams powering telemetry, simulation, aero, and trackside data. You will own the strategy and deliver data platforms and AI/ML tools, while remaining hands-on as the senior technical authority during race weekends.

This remote leadership role partners with Competition Engineering, Vehicle Performance, and Race Strategy to deliver customer-facing features across programs worldwide.