VP, Software Engineering Transformation & Developer Experience

Heartbeat is GE HealthCares 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 at scale. CodeFlow 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 HealthCare.

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 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 HealthCare.

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Leading CodeFlow and the broader Software Building Experience agenda this executive will translate engineering strategy into scalable platforms enterprise standards investment priorities governance risk controls and measurable outcomes. The role will lead a multidisciplinary organization spanning software architecture developer platforms technical training community engagement engineering transformation and process coaching while mobilizing a broader network of engineering leaders and practitioners across the company. 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 HealthCare.

Job Description

1. 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 HealthCare 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 HealthCares software building environment is secure scalable integrated and aligned to long-term business and technology priorities.

2. Software Transformation Governance and Operational Excellence

• Architect the enterprise operating model for CodeFlow defining how modern software engineering practices governance and controls are scaled across GE HealthCare in a regulated environment.
• Set enterprise standards for software development DevSecOps 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.

3. AI Technical Capability and Open Source

• Shape GE HealthCares 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 engineering roles skills operating models and technology capabilities as AI automation open source and emerging technologies mature.

4. Enterprise Strategy Partnerships and External Engagement

• Shape the integrated enterprise roadmap for CodeFlow and Software Building Experience setting priorities across 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 strategic direction 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 ensuring external expertise is focused on priority outcomes creates measurable value and builds sustainable internal capability.

5. Adoption Measurement and Organizational Leadership

• Define the enterprise capability model adoption expectations maturity measures and leadership mechanisms required to scale modern software practices and sustain transformation outcomes.
• Establish the outcome framework for Software Building Experience measuring engineering productivity developer experience software quality reliability compliance readiness adoption operational performance and business value.
• Advise senior leaders on enterprise choices and tradeoffs across technology investment regulatory risk operations organizational capability and transformation priorities.
• Build and lead a multidisciplinary organization of 10 spanning architecture developer platforms technical training communications and community engagement engineering transformation and process coaching with clear accountability for enterprise outcomes.
• Mobilize leaders engineers architects coaches and technical communities across GE HealthCare to accelerate adoption build durable capability and embed a culture of accountability technical excellence continuous learning and continuous improvement.

• Masters degree in Engineering Computer Science Biomedical Engineering Software Engineering Systems Engineering Healthcare Technology Management Business or a related field or bachelors 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.

Desired Qualifications and Characteristics

• Enterprise technology leader with a record of translating 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

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