VP, Software Engineering Transformation & Developer

Job Description Summary

Heartbeat is GE Health Care’s proprietary business system and the foundation for how we innovate, operate, and continuously improve to deliver value for customers and patients. Within our Heartbeat in Innovation efforts, the Software Building Experience defines the enterprise environment, platforms, practices, and capabilities that enable teams to build, deploy, operate, and maintain software effectively eFlow is the enterprise software development transformation that brings this experience to life by modernizing engineering practices, developer platforms, tools, governance, and ways of working to improve software quality, productivity, speed, security, compliance, and developer experience across GE Health Care.

The VP, Software Engineering Transformation & Developer Experience will lead the enterprise capabilities that enable GE Health Care engineers to build, deploy, operate, and continuously improve software and digital solutions with greater speed, quality, security, and consistency. The role brings together developer experience, platform ownership, regulated software transformation, software supply chain, technical capability building, and AI-enabled development into a single enterprise agenda focused on improving how software is built across GE Health Care.

Key outcomes include higher engineering productivity, improved developer experience, stronger software quality and compliance, more reliable and secure delivery, faster adoption of modern engineering practices, and accelerated use of AI-enabled development. Success will require close partnership across Product, Technology, Engineering, Quality, Regulatory, Cybersecurity, IT, Segment software teams, and strategic external partners to create a consistent, scalable, and high-performing software building environment across GE Health Care.

• Developer Experience, Platforms and Engineering Productivity
• Shape the enterprise strategy for software engineering productivity and developer experience, defining the future-state capabilities, standards, and investments required to make GE Health Care a high-performing software engineering environment.
• Drive measurable improvement in developer productivity, automation, reuse, collaboration, software delivery performance, and developer experience through clear enterprise outcomes and performance measures.
• Influence the future tools and platform roadmap with IT and strategic partners, including AWS, to ensure GE Health Care’s software building environment is secure, scalable, integrated, and aligned to long-term business and technology priorities.
• Software Transformation, Governance and Operational Excellence
• Architect the enterprise operating model for Code Flow, defining how modern software engineering practices, governance, and controls are scaled across GE Health Care in a regulated environment.
• Set enterprise standards for software development, Dev Sec Ops , design controls, quality, cybersecurity, and the software supply chain to improve consistency, traceability, compliance, and engineering effectiveness.
• Define the capabilities and controls required for secure and reliable software delivery, including release management, deployment automation, change safety, engineering planning, work management, and incident response.
• Shape the integration of security, quality, compliance, and evidence generation into engineering workflows to reduce risk while improving speed and developer experience.
• Establish a repeatable, scalable, and auditable transformation model grounded in Heartbeat, Lean, and continuous improvement, with clear measures for quality, reliability, operational performance, and business continuity.
• AI, Technical Capability and Open Source
• Shape GE Health Care’s enterprise strategy for AI-enabled software engineering, defining where Generative AI and automation should transform engineering workflows, capabilities, and productivity.
• Set the roadmap for responsible AI adoption across requirements, architecture, coding, testing, documentation, security, quality, release, operations, and incident management, with appropriate governance for cybersecurity, intellectual property, privacy, quality, and regulatory risk.
• Define the technical capability strategy for the software organization, including technical learning, knowledge management, communities of practice, standards, reusable patterns, and reference architectures.
• Anticipate and shape the future evolution of…