Job Description SummaryYour role is to lead GE HealthCare's next chapter of AI by scaling enterprise AI capabilities, reusable AI components, and workflow intelligence across products, software, and care pathways. This role focuses on operationalizing AI at enterprise scale - embedding it into regulated environments and enabling hybrid edge/cloud inference across clinical, operational, and enterprise workflows.
Job DescriptionYour ChallengeYou will shape where the company places its AI bets across workflow, reporting, operational intelligence, longitudinal care pathways, automation, SaaS, and enterprise software. Success in this role means translating advances in foundation models, multimodal AI, and agentic systems into measurable outcomes - including improved time-to-decision, operational workflow performance, and longitudinal intelligence - while accelerating AI-enabled software and SaaS growth.
Your Responsibilities- Define and drive GE HealthCare's enterprise AI strategy, shaping how AI enables product innovation, workflow transformation, enterprise AI architecture, and AI-enabled software and SaaS growth.
- Scale reusable AI capabilities, enterprise services, and common components that create reusable AI leverage across segments and platforms.
- Lead multidisciplinary teams spanning applied science, AI engineering, enterprise architecture, clinical AI strategy, governance, and workflow orchestration.
- Advance modern enterprise AI architecture, including foundation models, multimodal AI, agentic systems, orchestration layers, and enterprise data layers, enabling seamless integration across products and environments.
- Drive enterprise AI lifecycle management and operationalization at scale, including continuous validation, monitoring, deployment, and performance optimization of AI products across installed base and cloud environments.
- Enable hybrid edge/cloud inference strategies that support real-time, reliable AI deployment across devices, software, and clinical workflows.
- Partner across business, product, engineering, regulatory, legal, and operational leaders to embed AI into real-world healthcare environments, improving operational workflow, reporting, and longitudinal care processes.
- Accelerate the transition from standalone AI features to enterprise workflow intelligence that materially improves time-to-decision, operational performance, care coordination, and longitudinal intelligence.
- Establish and uphold enterprise-wide AI governance and Responsible AI frameworks, including regulatory compliance, validation standards, privacy, security, and trust.
- Guide strategic investment decisions to maximize enterprise impact, platform leverage, and differentiated growth.
- Represent GE HealthCare externally with regulators, standards bodies, partners, and academic ecosystems to shape the future of healthcare AI.
Your Experience- Proven executive leadership in artificial intelligence, machine learning, digital health, enterprise software, or a related domain.
- Demonstrated success scaling enterprise AI capabilities into production-grade environments, including hybrid edge/cloud inference and real-world deployment.
- Deep experience across the AI lifecycle, including continuous validation, monitoring, governance, and lifecycle management of AI products across installed base and cloud environments.
- Strong understanding of modern AI systems and enterprise AI architecture, including foundation models, multimodal AI, agentic systems, orchestration, and enterprise data layers.
- Track record of building reusable AI capabilities and shared platforms that drive enterprise leverage across multiple products, segments, or business units.
- Experience translating AI investments into measurable business outcomes, including improvements in time-to-decision, operational workflow, and software/SaaS growth.
- Experience operating within regulated environments, partnering across engineering, product, regulatory, legal, and commercial functions.
- Strong external credibility and engagement across industry, partners, and the broader AI ecosystem.
Desired Characteristics- Enterprise thinker who connects AI strategy to architecture, workflow, and business outcomes.
- Operator-builder who can scale AI capability and reusable enterprise leverage, not just vision.
- Deeply grounded in real-world application of AI, including operational workflow integration, monitoring, and lifecycle performance.
- Strong orientation toward Responsible AI, governance, and trust in complex, regulated environments.
- Highly credible across technical, product, and executive audiences.
- Pragmatic innovator who balances cutting-edge capabilities (e.g., foundation models, multimodal AI, agentic systems) with operational rigor and business impact.
- External thought leader who helps shape the direction of healthcare AI.
For U.S. based positions only, the pay range for this position is $348,000.00-$522,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
This role is restricted to U.S. persons (i.e., U.S. citizens, permanent residents, and other protected individuals under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)) due to access to export-controlled technology. GE HealthCare will require proof of status prior to employment.
Relocation Assistance Provided: Yes
