The Role Leads Motorsports Data Infrastructure and Data Science teams while owning the strategy, architecture, and delivery of data platforms supporting telemetry, simulation, trackside, analytics, and AI/ML use cases. Responsibilities include managing managers, designing streaming and batch pipelines, productionizing ML models, setting engineering standards, managing Azure and Databricks capacity, protecting sensitive data, and partnering with racing and executive stakeholders. The role remains hands-on in architecture, coding, code review, incident support, and technical problem-solving. Summary Generated by Built In Description 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.) This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. Relocation benefits are available for candidates who qualify under company policy. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. 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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Read Full Description Skills Required Bachelor's degree in Computer Science, Engineering, Data Science, or a related field 10+ years of experience 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, including Spark, Delta Lake, Unity Catalog, and Workflows or Delta Live Tables Experience with Azure data services, including ADLS, Event Hubs, AKS, and Key Vault Proven experience taking ML and AI systems 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 Experience with CI/CD, Git, and infrastructure as code Ability to deliver under hard, deadline-driven schedules and explain complex topics to technical and executive audiences Experience leading both software or data engineering and data science functions Experience with motorsports, automotive, or high-performance engineering data, including vehicle dynamics, simulation, or aero correlation Experience with Databricks AI capabilities, including Mosaic AI, Vector Search, Feature Store, Model Serving, and Genie GenAI or 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 What the Team is Saying Kendra GM Defense Architect Systems Engineer - Body Exterior / Interior GM took a chance on me even though my background didn't directly line up with the job I accepted. They saw my potential to learn quickly and apply the skills I've learned in the last 6 years in the auto industry to a new area. Kendra GM Defense Architect Systems Engineer - Body Exterior / Interior GM took a chance on me even though my background didn't directly line up with the job I accepted. They saw my potential to learn quickly and apply the skills I've learned in the last 6 years in the auto industry to a new area. Brady Advanced Engine Technologies & Components Engineer The people at GM are incredibly friendly and super helpful, and the culture just bleeds positivity. Everyone is more than happy to help you grow your career in a way that produces some of the best products that we can deliver to the customer. It's a win-win. Eseme Owoseni Torque Safety Calibration Engineer I joined GM for a number of reasons. I wanted a new direction in my career in the EV field. I also wanted to pursue a career in an environment that is encouraging, diverse and inclusive, all of which I have found at GM. Emrik Bumper, Fascia, Grille, & Trim Project Engineer My favorite thing about working at General Motors is the people that make it such a special place. There is a "top-down" approach of respect and inclusion that creates a fantastic environment where everyone can thrive and make an impact. Divya Automated Driving Systems Engineer Apart from being one of the best places to work in the auto industry, there are 3 compelling GM values: 1. Actions toward inclusivity & diversity. 2. Investment in employee well-being and growth. 3. Developing new fleet to ensure sustainability. Navya Data Analyst, Data Management and Analytics Group GM has a people-first culture that inspires everyone to help each other and improve themselves. It fosters a workplace of inclusivity instead of focusing solely on company results. I really feel like I am seen as an individual and that my work has an impact at GM. Yousuf BI/Data Analyst With supportive peers who help cultivate growth and amazing leadership, I have always had the chance to learn something new every day, move closer towards reaching my career goals, and also have an opportunity to apply what I learn to support my team. Eseme Torque Safety Calibration Engineer I joined GM for a number of reasons. I wanted a new direction in my career in the EV field. I also wanted to pursue a career in an environment that is encouraging, diverse and inclusive, all of which I have found at GM. Charles Program Engineering Manager, Battery Electric Vehicles GM continually allows me the flexibility to pursue a variety of assignments and roles in accordance with my interest and evolving skillset. With each move, I've found satisfaction through increased responsibility and overall scope of work. The key to success is understanding the business while building and growing your leadership acumen. Antonino Destasi TRACK - Assistant Program Project Engineering GM provides not only career development opportunities, but also the ability to be a part of a company who consistently keeps customer and vehicle safety in mind while being at the forefront of electrification and autonomy. Jeremiah Hamlin Design Engineer I started as a calibration test engineer, then moved into our Immersive Lab, where I leveraged cutting-edge technology to speed up engineering and design processes. Now, I'm using that experience as an Integration Design Engineer in our Advanced Studio. These opportunities enabled my professional growth and I can't wait for my future in innovation. Victoria Sr. Manager, Vehicle Systems Engineer I'm currently working on ADAS projects. I enjoy working in the new technology space because it allows me to think creatively and come up with innovative ideas to solve problems. Dr. Behrad Toghi AI & Robotics Lead Everyone knows GM for our cars and trucks. As the world starts to hear of our progress in areas like AI and robotics, and the massive impact that tech can have, there is a lot of enthusiasm. Matt Zebiak Energy Technology Strategist There is massive transformation going on in this industry, both in terms of how vehicles are propelled and the types of vehicles that are on the road - from personal automobiles to the shared autonomous vehicles in development. At GM, there are massive opportunities to find energy-saving solutions that can help get people around in a way that that does less harm to the environment. Sri Director, Ultifi Data Platform Services I want my team members to feel like they're working with me, not for me. So, I make myself vulnerable to my team. I share my failures and ask for help. Likewise, I try to create an open, safe and trusted environment for them to discuss their challenges. I share my success stories to inspire them to realize their career aspirations. Jeremiah Design Engineer I started as a calibration test engineer, then moved into our Immersive Lab, where I leveraged cutting-edge technology to speed up engineering and design processes. Now, I'm using that experience as an Integration Design Engineer in our Advanced Studio. These opportunities enabled my professional growth and I can't wait for my future in innovation. General Motors Compensation & Benefits Highlights Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, mental-health services, virtual care, and wellness resources. Offerings are often portrayed as a standout element of the package. Retirement Support — Retirement programs are presented as robust, with employer contributions and matching highlighted as a significant advantage. This support is frequently cited alongside savings tools and financial-wellbeing programs. 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