Lead System Integration Engineer - Enterprise Transformation

GM•Warren, MI

About The Position

As a Lead System Integration Engineer – Enterprise Transformation, you will design, build, and scale enterprise integrations and data pipelines that modernize how systems work together across General Motors. From the software and core IT side of the transformation, you will focus on connecting Google Workspace, SaaS platforms, enterprise AI tools, and GM’s core business systems through secure, reusable, and scalable integration patterns. This role is a strong fit for an experienced engineer who can independently deliver complex integration solutions, translate business and technical requirements into practical system designs, and build supportable, production-ready pipelines that align with enterprise standards. You will partner closely with product, engineering, technical program management, security, and business stakeholders to enable reliable data flow, workflow continuity, and platform interoperability across GM, while contributing reusable patterns that can be adopted broadly across the enterprise.

Requirements

7+ years of hands-on experience in integration engineering, software engineering, platform architecture, or enterprise application integration within complex enterprise environments.
Strong systems-thinking capability, with proven experience mapping dependencies across applications, data layers, identity services, and business processes.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience.
Strong production-level proficiency in Python and core scripting or automation frameworks.
Extensive experience building and supporting enterprise-grade integrations using REST APIs, webhooks, middleware solutions, and ETL or data transformation logic.
Strong understanding of cloud-based integration patterns, modern application architecture, Git-based version control, and debugging integration issues across multi-system environments.
Experience designing secure, supportable integrations across SaaS platforms and internal enterprise systems.
Strong foundational knowledge of enterprise authentication, authorization, identity integration, and access-control frameworks.
Proven history of working effectively with product managers, engineering teams, TPMs, security leads, and business stakeholders.
Strong written and verbal communication skills, including the ability to explain technical tradeoffs, architecture risks, and engineering decisions to non-technical partners.

Nice To Haves

Direct experience supporting large-scale Microsoft 365 to Google Workspace migration or coexistence programs.
Familiarity with Google Workspace administration, Google Workspace APIs, Google Apps Script, and AppSheet.
Experience connecting enterprise workflows to modern data and AI ecosystems such as Gemini Enterprise, Glean, AskGM, and Databricks.
Familiarity with corporate data retention, ILM, privacy frameworks, and regulated data controls in large-scale enterprise environments.
Experience supporting automated testing, cutover planning, data validation, hypercare support, and long-term sustainment models.

Responsibilities

Build reusable services, accelerators, and reference integration templates so transformation teams can solve repeatable connectivity needs more consistently.
Apply enterprise platform guardrails by aligning integration designs with data standards, identity guidelines, and security policies.
Partner with Security, Privacy, Identity, Information Lifecycle Management (ILM), and Retention teams to support workflows that process sensitive or regulated data.
Evaluate incoming integration requests and recommend the appropriate technical path using approved platform capabilities, configuration options, or custom engineering.
Design, build, and maintain robust, resilient, and observable integrations using APIs, webhooks, scripts, connectors, and middleware services.
Define source-to-destination data mappings, transformation logic, exception-handling patterns, and monitoring approaches that support reliable day-to-day operations.
Modernize Microsoft-dependent workflows, legacy interfaces, and older automations into scalable, Google-aligned integration patterns.
Connect Google Workspace with core GM platforms, including identity services, reporting environments, asset repositories, and approved AI platforms.
Support end-to-end workflows that move data and trigger actions across enterprise systems.
Design and support coexistence models that allow Microsoft, Google, and internal platforms to interoperate effectively during phased migration waves.
Preserve workflow continuity where historical data, inactive-user content, or core systems must remain on legacy platforms during transition.
Support cutover sequencing, permissions validation, metadata mapping, and post-deployment stabilization to reduce operational disruption.
Partner directly with transformation Product Leads and Technical Program Managers within business units to integrate Google capabilities into real-world operational processes.
Provide technical leadership through design reviews, implementation guidance, and engineering best practices across the program.
Author technical designs, dependency maps, operational runbooks, and handover materials that support long-term sustainment of integrated solutions.
Support validation, troubleshooting, and hypercare activities during rollout and early adoption phases.