GM is looking to drive transformative data initiatives to shape the future of automotive and mobility innovation by leading strategic programs within their Data Engineering organization.
Requirements
- 8+ years of experience in engineering, program management, or technical project/program leadership within complex enterprise environments
- Demonstrated success leading large-scale, cross-functional programs, ideally in data-centric domains
- Proven ability to drive collaboration across technical and business teams to deliver cohesive, high-impact outcomes
- Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts clearly to diverse audiences
- Deep understanding of program management methodologies (Agile, hybrid, scaled delivery models) and proficiency with tools such as Jira, Confluence, and Agile planning platforms (e.g., Jira Align)
- Hands-on experience with data engineering concepts, including data pipelines, architectures, and systems integration
- Familiarity with building dashboards and reporting tools using BI platforms (e.g., Tableau, Power BI, Looker) to support data-driven decision-making
Responsibilities
- Own end-to-end program execution across a portfolio of 4-6 major initiatives, ensuring timely delivery, quality outcomes, and alignment with business goals.
- Define and manage program scope, timelines, resources, and dependencies, proactively identifying risks and implementing mitigation strategies.
- Drive strategic roadmaps with clear capabilities and priorities, ensuring completeness of product requirements and seamless integration across teams.
- Champion cross-functional collaboration, connecting the dots between engineering, product, legal, marketing, and other stakeholders to ensure cohesive execution.
- Lead change management and governance practices, incorporating best-in-class development workflows, CI/CD, SRE, and DevOps principles.
- Serve as the escalation point for all program-related issues, bottlenecks, and risks – owning resolution and ensuring momentum.
- Ensure data engineering work is accurately reflected in tools like Jira and Align, maintaining transparency and accountability.
Other
- Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Technical/Innovation Center in Warren (MI) or Austin (TX) three times per week, at minimum or other frequency dictated by the business.
- Bachelor’s degree in Engineering, Computer Science, or a related technical field (or equivalent practical experience)
- Effective leadership and mentoring skills, with a track record of fostering innovation, accountability, and team alignment
- Advanced degree in Computer Science, Engineering, or an MBA with a technical focus
- GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.
