Job Description Summary

Job Description

Key Responsibilities:

• Collaboratively define a kanban of R&D use cases that can benefit from AI automation. Estimate the cost and benefits of each project proposal.
• Collaborate with global stakeholders including product engineering quality regulatory and operations to review hone and align the individual project deliverables costs and benefits to meet the business objectives.
• Transform each R&D use case opportunity into actionable detailed scope technical requirements and metrics to monitor in-flight project health and post-launch adoption/benefit confirmation.
• Establish scope at the use case level with clear progression through project stages including proof-of-concept minimal viable product pilot and to the final release.
• Ensure delivery and scalability of solutions to meet the business targets.
• Translate the technical requirements into clear feature specifications process flows and integration guidelines for engineering teams.
• Work with the quality team to establish Good Practices (GxP) compliance tasks including the appropriate validation plan
• Establish and act on clear success metrics and kill criteria that ensures that investments align with customer needs and meet ROI targets set by stakeholders.
• Coordinate and collaborate with agile development teams to deliver high-quality solutions.
• Support and mentor development teams in implementing new solutions
• Expand collaboration beyond the Product Manager including working with AI/ML solution providers Data Architects Quality and Data Privacy & Security experts.

Educational Qualifications:

• Bachelors or advanced degree in engineering or medical technology or a related field or equivalent education.

Required Skills:

• Overall industry experience of 15 years with at least 6 years of product/program management experience in handling multiple teams in a matrix organization.
• Deep understanding and experience with Artificial Intelligence Machine Learning and Retrieval-Augmented Generation that utilize Large Language Models (LLMs) fine-tuning strategies and prompt engineering.
• Familiarity with AI model evaluation metrics (accuracy hallucination rates bias detection).
• Knowledge of AI governance data privacy cyber security and Responsible AI principles.
• Extensive experience with modern agile software development.
• Understanding of product management principles.
• Familiarity with common operating systems distributed applications and networks client-server systems and databases.

Desired Expertise:

• Proven experience using project management methodologies and tools to deliver business value and drive significant change across an organization.
• Understanding of Software Development processes API architectures and data modeling
• Experience working in Agile engineering environment
• In-depth understanding of the GE HealthCare quality management system requirements that are relevant for product development (design controls risk management complaint handling corrective and preventative actions software development lifecycle).
• Understanding of system integrations and knowledge to participate design reviews.

Business Acumen:

• Demonstrates the initiative to explore alternate technology and approaches to solving problems
• Skilled in breaking down problems documenting problem statements and estimating efforts
• Demonstrates awareness about competitors and industry trends
• Has the ability to analyze impact of technology choices

Leadership:

• Ability to takes ownership of small and medium sized tasks and deliver while mentoring and helping team members
• Ensures understanding of issues and presents clear rationale. Able to speak to mutual needs and win-win solutions. Uses two-way communication to influence outcomes and ongoing results
• Identifies misalignments with goals objectives and work direction against the organizational strategy. Makes suggestions to course correct
• Continuously measures deliverables of self and team against scheduled commitments. Effectively balances different competing objectives

Personal Attributes:

• Strong oral and written communication skills in English
• Strong interpersonal skills
• Effective team building and problem-solving abilities
• Persists to completion especially in the face of overwhelming odds and setbacks. Pushes self for results; pushes others for results through team spirit
• Proactive collaborative and customer-focused mindset.
• Ability to manage multiple priorities and drive cross-functional collaboration.

Inclusion and Diversity

GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus and drive ownership always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.

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