Software Engineering Manager-Data Insights & Operational Reporting

Job Description

Workplace Classification:

Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to their primary work location (Roswell, GA; Austin, TX or Warren, MI) three times per week, at minimum, or other frequency dictated by the business.

The Team:

The GPSC (Global Purchasing & Supply Chain IT) Insights and Operational Reporting team is responsible for s ourcing, integrating, curating and presenting consistent data and services for Purchasing, Supply Chain and Logistics performance management, supply network & supplier management. Analytic services that support Supplier Performance Management, Supplier Engagement, Sourceability Reports, Material Performance reporting, Contract savings, Materials Planning, Integrated vehicle order data, Financial cost reporting, Finished Vehicle logistics reporting, and Continuous ASN data transmission.

The Role:

We are looking for a hands-on and forward-thinking Engineering Manager with strong software engineering expertise to lead a team building scalable, high-performance cloud data solutions. This role blends data engineering leadership with software engineering best practices to deliver resilient, well-architected pipelines and services that power analytics, AI/ML, and operational decision-making across the enterprise.

What You'll Do (Responsibilities):

Technical Leadership

• Lead and grow a high-performing team of cloud data and software engineers in building distributed, production-grade data products and services.
• Architect, implement, and maintain batch and real-time data pipelines using cloud-native technologies (e.g., Databricks, Snowflake, Kafka, Spark).
• Apply software engineering principles such as modular design, unit/integration testing, CI/CD, and version control to all data engineering efforts.
• Drive the design and delivery of scalable APIs and microservices that enable downstream data access and integration.
• Oversee the development of reusable frameworks, libraries, and platform services to accelerate data product delivery across domains.
• Champion DevOps and DataOps practices including observability, infrastructure-as-code, automated deployments, and incident management.
• Collaborate with data product owners, architects, and business stakeholders to define technical strategy and delivery roadmaps.
• Foster a strong engineering culture focused on code quality, collaboration, continuous learning, and technical excellence.

People & Team Leadership

• Provide strategic direction and day-to-day leadership to a diverse team of technical professionals, ensuring alignment with organizational goals and priorities.
• Set clear priorities and delegate responsibilities effectively to optimize team productivity and resource utilization.
• Lead staffing initiatives including hiring, onboarding, and workforce planning to ensure the team has the right mix of skills and experience.
• Conduct regular team meetings and communicate organizational policies, safety messages, and strategic updates.
• Support employee development through coaching, mentoring, and performance feedback; promote continuous learning and career growth.
• Recognize and reward individual and team contributions, promoting a culture of appreciation and accountability.
• Monitor and approve team schedules, expenses, and work-related documentation in accordance with company policies.
• Proactively identify and remove roadblocks to ensure timely delivery of engineering milestones and team success.
• Resolve conflicts and foster collaboration across teams, adapting communication styles to influence and align stakeholders.

Additional Job Description

What You'll Need (Required Qualifications):

• Bachelor's degree (or higher) in Computer Science, Software Engineering, Data Engineering, or related field
• 8+ years of experience in software/data engineering, including 3+ years in a technical leadership or managerial role
• Proven experience with distributed systems, cloud-native data platforms (AWS, Azure, or Google Cloud Platform), and data processing frameworks (e.g., Spark, Flink)
• Strong programming skills in Python, Java, or Scala and experience with modern software development practices
• Expertise in CI/CD tooling, testing strategies, infrastructure automation (Terraform, CloudFormation), and containerization (Docker, Kubernetes)
• Solid understanding of data modeling, data governance, and performance optimization
• Excellent interpersonal, communication, and stakeholder management skills

What will give you a Competitive Edge (Preferred Qualifications):

• Experience leading teams through cloud migrations, data mesh or lakehouse transformations
• Familiarity with machine learning infrastructure, MLOps, or real-time streaming architectures
• Knowledge of modern software architecture patterns such as microservices, domain-driven design (DDD), and event-driven architecture

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., H - 1B, OPT, STEM OPT, CPT, TN, J - 1, etc.)

This job may be eligible for relocation benefits.

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