Role Overview
GE HealthCare’s Chief Data and Analytics team delivers innovative data, insights, and AI solutions for the organization. Our Enterprise AI team works on a diverse portfolio of Machine Learning (ML), AI, and GenAI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we work hand in hand with our Business Partners through all stages of model development from ideation to deployment.
As the Senior Director, Head of AI Engineering and Application Development, you will be at the forefront of developing and delivering innovative AI tools for key areas within GE HealthCare, including Finance, Commercial, Sales & Marketing, Supply Chain, Product Development, Quality, Operational Excellence and Lean, and Manufacturing. In this senior leadership role, you will be responsible for creating technology roadmaps in support of GenAI and Agentic AI applications, providing technical oversight to a team of AI engineers & application developers, and communicating the value created from these tools to executive business leaders. You will also build and lead a high-performing team of AI engineers and AI application developers and collaborate with various departments to set standards for GenAI and Agentic AI solution development and deployment.
The leader is also a member of the Enterprise AI Leadership team and the Extended CDAO Leadership team. They will collaborate across the team to build and deliver on broad data, AI, and digital organizational capabilities. He/she guides senior leadership and cross-functional executives in relevant issues and represents the department more broadly at the enterprise level.
Core Responsibilities
- Develop and deliver innovative GenAI and Agentic AI tools to address key business problems, drive intelligent automation and transform business processes across Commercial, Sales, Marketing, Finance, Supply Chain, Quality, Lean, and Manufacturing.
- Create and maintain technology roadmaps to support GenAI and Agentic AI applications.
- Provide technical oversight and mentorship to a team of AI engineers and AI application developers.
- Partner with business leaders across GE HealthCare to transform key business processes via intelligent automation.
- Collaborate with the AIOps team to establish standards for AI model development, deployment, and monitoring.
- Lead development of AI-driven solutions including but not limited to:
- Designing RAG models, agent workflows, and multi-step reasoning models.
- Unstructured data analysis.
- Integrating ML/GenAI models and LLM orchestration into end-user AI applications.
- Productionizing cloud-based models as GenAI products.
- Designing multi-agent orchestration, memory stores, and API end points.
- Maintain framework for training, testing and deploying models.
- Proactively measure and communicate value generation from developed AI tools to business and IT leaders across GE HealthCare.
- Proactively identify new opportunities to further leverage GenAI and Agentic AI solutions – prioritizing opportunities with the biggest potential benefit to the business.
- Ensure best practice adoption within the engineering team, applying appropriate levels of technical capability, standardization, and subject matter expertise.
- Proactively manage planned and ad-hoc engineering requests, ensuring appropriate prioritization, consistent quality, and timeliness in delivery to business stakeholders.
- Drive a culture of analytics and fact-based decision-making through the utilization of standard methodologies and approaches.
- Operate as a thought leader and visionary, with the ability to influence executive leaders in the strategic use of GenAI and Agentic AI in business process transformation and value creation.
- Act as a change agent who effectively communicates the vision and implementation roadmap for new AI capabilities and who gains buy-in from stakeholders across the organization.
- Build and nurture a team of high-performing AI engineers and AI application developers. Develop a team culture and environment where engineers thrive, overseeing the development of competency models, career paths, and onboarding and training programs.
- Collaborate across IT and STO functions to ensure that technology enables ML, AI, GenAI, and advanced analytics capabilities and that data and algorithms are reliable and accurate.
- Serve as a key member of working groups developing digital platforms, as well as ensuring that data from these platforms can be appropriately utilized for insight generation.
- Stay abreast of market evolutions and dynamics regarding GE HealthCare’s position in industry and therapeutic areas.
Experience Requirements
- 10+ years of experience leading data science and AI teams.
- Strong healthcare data and analytics experience, including management experience.
- Excellent team management, coaching, and mentoring skills.
- Superior planning, process, and influencing skills.
- Demonstrated ability to be an effective change management leader for direct reports.
- Exceptional structured problem-solving and strategic agility abilities.
- Proficiency in the latest AI tools and platforms such as MCP, A2A, AWS Bedrock, Azure AI Foundry, LLM foundational models, and agentic orchestration & monitoring platforms such as LangGraph/LangSmith.
- Deep expertise in GenAI model development, AI Agent design and orchestration, Computer Vision, Deep Learning, Transformers, Self-Supervised Learning, and LLM fine tuning.
- Ability to continuously track, evaluate, and adapt the latest advancements in AI research to use cases across GE HealthCare.
- Deep knowledge of business analytics and associated practices relevant to the healthcare/MedTech/pharmaceutical/biotech industries.
- Proven track record for consistently meeting or exceeding qualitative and quantitative targets and goals.
- Ability to communicate AI, GenAI, Agentic AI, and technical ideas and results to non-technical clients in written and verbal form, including experience and comfort presenting concepts to senior executives.
- Ability to travel (ad hoc).