Data Engineering Manager

Descripción

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.)

Este puesto se clasifica como híbrido. Esto significa que se espera que el candidato seleccionado se presente en una ubicación específica al menos 3 veces por semana {o con otra frecuencia indicada por su líder}.

El candidato seleccionado deberá viajar regularmente (25-50 % del tiempo) para este puesto.

Los beneficios de reubicación están disponibles para los candidatos que califican según la política de la empresa.

Información sobre diversidad

General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar.  Para obtener más información, visite Cómo contratamos.

Declaración de igualdad de oportunidades en el empleo (EE.UU.)

General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades.  Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido. 

Adecuaciones (EE.UU. y Canadá)

General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a [email protected] o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.