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GE HealthCare
GE HealthCare
H1B vīzas sponsorsFarmaceitiskie produktiMedicīnas tehnoloģijaVeselības aprūpe
GE HealthCare izstrādā medicīnas tehnoloģijas un integrētus risinājumus precīzai aprūpei. Kā neatkarīgs veselības aprūpes tehnoloģiju uzņēmums tas darbojas medicīniskās attēlveidošanas, ultraskaņas un veselības aprūpes IT jomā, lai atbalstītu klīnicistus, uzlabotu slimnīcu efektivitāti un nodrošinātu precīzākas terapijas. Ievērojamais ieguldījums pētniecībā un izstrādē veicina nepārtrauktu diagnostikas un ārstēšanas tehnoloģiju attīstību, padarot GE HealthCare par saistošu galamērķi veselības aprūpes, medicīnas tehnoloģiju un saistīto farmācijas jomu profesionāļiem.
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Vakances uzņēmumā

VP of Software Engineering Transformation and Developer Experience

Lead GE HealthCare’s CodeFlow and enterprise software platforms, advancing developer experience and engineering practices in a regulated environment. Set direction for AI-enabled development, governance, productivity, and technical capabilities across the company.

USAmerikas Savienotās ValstisILIlinoisaKlātienēPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuIzstrādātāju attiecības
Atvērtais pirmkodsAWSKiberdrošībaMākonis

Apraksts

  • Lead CodeFlow and GE HealthCare’s wider software building experience agenda
  • Turn engineering strategy into scalable platforms, enterprise standards, investment priorities, governance, risk controls, and measurable outcomes
  • Lead a multidisciplinary team across software architecture, developer platforms, technical training, community engagement, engineering transformation, and process coaching
  • Engage engineering leaders and practitioners across GE HealthCare
  • Set enterprise direction for software engineering productivity and developer experience
  • Improve developer productivity, automation, reuse, collaboration, software delivery performance, and developer experience through measurable initiatives
  • Guide tools and platform roadmaps with IT and strategic partners, including AWS
  • Design CodeFlow’s enterprise operating model and expand modern software engineering practices, governance, and controls in a regulated environment
  • Set company-wide standards for software development, DevSecOps, design controls, quality, cybersecurity, and software supply chains
  • Define secure, reliable software delivery capabilities, including release management, deployment automation, change safety, engineering planning, work management, and incident response
  • Embed security, quality, compliance, and evidence generation into engineering workflows
  • Create an auditable transformation approach based on Heartbeat, Lean, and continuous improvement
  • Set the enterprise strategy and roadmap for AI-enabled software engineering and responsible adoption of generative AI
  • Define technical capability priorities, including learning, knowledge management, communities of practice, standards, reusable patterns, and reference architectures
  • Guide engineering roles, skills, operating models, and technology capabilities as AI, automation, open source, and emerging technologies evolve
  • Inform enterprise investment and capacity decisions
  • Act as a senior enterprise liaison across Quality, Regulatory, Cybersecurity, segment software teams, IT, Product, Technology, and Engineering
  • Develop strategic partnerships with IT, AWS, and other technology and ecosystem partners
  • Lead external consulting and advisory engagements
  • Define capability models, adoption expectations, maturity measures, and leadership mechanisms
  • Create outcome measures for productivity, developer experience, quality, reliability, compliance readiness, adoption, operational performance, and business value
  • Counsel senior leaders on enterprise decisions and tradeoffs
  • Build and lead a multidisciplinary organization of more than 10 people

Prasības

  • 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 and at least five years of progressive post-baccalaureate experience in the specialty
  • At least 15 years leading enterprise software, engineering, digital transformation, platform, or large-scale strategic initiatives in healthcare technology, software, engineering, or a similarly regulated industry
  • A record of leading enterprise-wide transformations across multiple businesses and functions
  • Experience establishing governance and 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 grasp 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 technology, investment, capacity, risk, and operating decisions at enterprise scale
  • Experience leading or influencing developer tools, technical standards, engineering platforms, architecture strategies, or enterprise software practices
  • Experience managing substantial 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 uses in software engineering workflows
  • Ability to influence senior executives and lead effectively in highly matrixed organizations
  • Exceptional strategic thinking, executive communication, stakeholder management, and organizational leadership skills
  • Preferred: experience leading enterprise software development, platform engineering, developer experience, engineering excellence, or digital transformation
  • Preferred: experience with software supply chain security, open-source governance, developer productivity, engineering metrics, or modern DevSecOps practices
  • Preferred: familiarity with cloud-native architectures, modern runtime environments, infrastructure automation, and contemporary software delivery patterns
  • Preferred: experience implementing generative AI, AI-assisted development, engineering automation, or coding-agent strategies
  • Preferred: demonstrated ability to manage complex advisory and consulting relationships
  • Preferred: strong business acumen and ability to balance customer, developer, regulatory, cybersecurity, operational, and long-term technology priorities
  • Preferred: interest in continuous improvement, developer experience, technical learning, open source, AI-enabled productivity, and digital innovation
  • Preferred: record of developing leaders and building high-performing, inclusive organizations

Priekšrocības

  • Full-time employment

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