About The Position

The VP, Software Engineering Transformation & Developer Experience will lead the enterprise capabilities that enable GE HealthCare engineers to build, deploy, operate, and continuously improve software and digital solutions with greater speed, quality, security, and consistency. The role leads CodeFlow and the broader Software Building Experience agenda, translating engineering strategy into scalable platforms, enterprise standards, investment priorities, governance, risk controls, and measurable outcomes. The position leads a multidisciplinary organization spanning software architecture, developer platforms, technical training, community engagement, engineering transformation, and process coaching, while mobilizing engineering leaders and practitioners across GE HealthCare. It focuses on improving engineering productivity and developer experience, software quality and compliance, delivery reliability and security, adoption of modern engineering practices, and use of AI-enabled development. The executive partners across Product, Technology, Engineering, Quality, Regulatory, Cybersecurity, IT, Segment software teams, and external partners to create a consistent, scalable software building environment.

Requirements

  • Master’s degree in Engineering, Computer Science, Biomedical Engineering, Software Engineering, Systems Engineering, Healthcare Technology Management, Business, or a related field; alternatively, a bachelor’s degree plus at least 5 years of progressive post-baccalaureate experience in the specialty.
  • 15+ years leading enterprise software, engineering, digital transformation, platform, or large-scale strategic initiatives in healthcare technology, software, engineering, or similarly regulated industries.
  • Demonstrated success leading enterprise-wide transformations across multiple businesses and functions.
  • Experience establishing governance models, platform operating models, integrated execution disciplines, and executive operating mechanisms.
  • Advanced working knowledge of regulated software development, Agile, DevSecOps, digital engineering, design controls, software quality systems, cybersecurity, and healthcare technology regulatory expectations.
  • Strong understanding of modern software engineering environments, including developer platforms, source code management, CI/CD, software supply chains, build and release automation, cloud, and runtime technologies.
  • Experience making enterprise-scale technology, investment, capacity, risk, and operating decisions.
  • Experience leading or influencing developer tooling, technical standards, engineering platforms, architecture strategies, or enterprise software practices.
  • Experience managing significant external consulting, advisory, technology, or strategic partner engagements.
  • Demonstrated ability to work across Quality, Regulatory, Cybersecurity, IT, business, and software engineering organizations.
  • Understanding of Generative AI and its application across software engineering workflows.
  • Proven ability to influence senior executives and lead effectively in highly matrixed organizations.
  • Exceptional strategic thinking, executive communication, stakeholder management, and organizational leadership skills.

Nice To Haves

  • Record of translating enterprise technology strategy into measurable engineering and business outcomes.
  • Experience leading enterprise software development, platform engineering, developer experience, engineering excellence, or digital transformation.
  • Experience with software supply chain security, open-source governance, developer productivity, engineering metrics, or modern DevSecOps practices.
  • Familiarity with cloud-native architectures, modern runtime environments, infrastructure automation, and contemporary software delivery patterns.
  • Experience implementing Generative AI, AI-assisted development, engineering automation, or coding-agent strategies.
  • Demonstrated ability to manage complex advisory and consulting relationships while maintaining strong internal ownership.
  • Ability to engage credibly with deeply technical leaders and senior executives across Quality, Regulatory, Cybersecurity, IT, Segment, and business organizations.
  • Strong business acumen and ability to balance customer, developer, regulatory, cybersecurity, operational, and long-term technology priorities.
  • Passion for continuous improvement, developer experience, technical learning, open source, AI-enabled productivity, and digital innovation.
  • Track record of developing leaders and building high-performing, inclusive organizations.

Responsibilities

  • Shape enterprise strategy for software engineering productivity and developer experience, including future-state capabilities, standards, and investments.
  • Drive measurable improvement in developer productivity, automation, reuse, collaboration, software delivery performance, and developer experience.
  • Influence the software tools and platform roadmap with IT and strategic partners, including AWS.
  • Architect the enterprise operating model for CodeFlow and scale modern software engineering practices, governance, and controls in a regulated environment.
  • Set enterprise standards for software development, DevSecOps, design controls, quality, cybersecurity, and the software supply chain.
  • Define capabilities and controls for secure, reliable software delivery, including release management, deployment automation, change safety, engineering planning, work management, and incident response.
  • Integrate security, quality, compliance, and evidence generation into engineering workflows.
  • Establish a repeatable, scalable, auditable transformation model grounded in Heartbeat, Lean, and continuous improvement, with measures for quality, reliability, operational performance, and business continuity.
  • Shape the enterprise strategy and roadmap for AI-enabled software engineering and responsible use of Generative AI and automation across engineering workflows.
  • Define technical capability strategy, including technical learning, knowledge management, communities of practice, standards, reusable patterns, and reference architectures.
  • Anticipate and shape the evolution of engineering roles, skills, operating models, and technology capabilities as AI, automation, open source, and emerging technologies mature.
  • Shape the integrated enterprise roadmap for CodeFlow and Software Building Experience, setting priorities for capabilities, investments, dependencies, adoption, and value realization.
  • Influence enterprise investment and capacity decisions by integrating engineering needs, business priorities, regulatory and cybersecurity risk, quality, developer experience, and long-term technology strategy.
  • Serve as a senior enterprise interface across Quality, Regulatory, Cybersecurity, Segment software teams, IT, Product, Technology, and Engineering to align strategy, standards, platforms, controls, and transformation priorities.
  • Shape strategic partnerships with IT, AWS, and other technology and ecosystem partners to influence platform roadmaps, cloud architecture, enterprise standards, and future engineering capabilities.
  • Own external consulting and advisory engagements, focusing expertise on priority outcomes, measurable value, and sustainable internal capability.
  • Define the enterprise capability model, adoption expectations, maturity measures, and leadership mechanisms for scaling modern software practices.
  • Establish an outcome framework measuring engineering productivity, developer experience, software quality, reliability, compliance readiness, adoption, operational performance, and business value.
  • Advise senior leaders on choices and tradeoffs across technology, investment, regulatory risk, operations, organizational capability, and transformation priorities.
  • Build and lead a multidisciplinary organization of 10+ across architecture, developer platforms, technical training, communications and community engagement, engineering transformation, and process coaching.
  • Mobilize leaders, engineers, architects, coaches, and technical communities to accelerate adoption, build durable capability, and embed accountability, technical excellence, continuous learning, and continuous improvement.
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