Principal Technical Program Manager

Job Description Summary
At GE HealthCare, we are committed to bringing cloud-based solutions for our customers: all aspects of computing services across the cloud and edge – including servers, databases, storage, networking, analytics, software, intelligence are delivered over the Internet. Our Science & Technology organization is harnessing the power of technology to make healthcare more precise, more personalized, and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we're committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits.

Responsibilities
Job Description
As the
Principal Technical Program Manager
, you will drive the success of complex, cross-functional programs in the Digital, Cloud, and AI space, with a focus on delivering cloud-based SaaS solutions and AI-enabled products. You will lead critical initiatives in a highly regulated healthcare environment.

• SaaS Program Management:

• Lead the end-to-end delivery of SaaS products or cloud-based solutions, from conception to launch, with a focus on operationalizing and scaling the product. Manage milestones, timelines, and cross-functional coordination to meet performance, reliability, and security standards.

• Oversee SaaS architecture and deployment, including multi-tenant models, microservices, and API management, in cloud environments like AWS, Google Cloud, or Azure.

• Ensure seamless integration of subscription and billing systems, addressing their impact on revenue, customer retention, and growth.

• Cloud Program Management:

• Oversee cloud infrastructure supporting SaaS products, focusing on scalability, cost optimization, and service availability.

• Collaborate with engineering teams to manage large, distributed cloud environments and optimize resource usage.
• Ensure robust security and compliance in cloud deployments, addressing concerns such as data protection, encryption, identity management, and adherence to standards like GDPR and SOC 2.

• Drive DevOps processes and maintain efficient CI/CD pipelines to enable rapid and reliable development cycles.

• AI/ML Program Management:

• Lead the development and integration of AI-enabled features in SaaS products, collaborating with data scientists, machine learning engineers, and software teams to manage the entire AI lifecycle, including data collection, model training, deployment, and iteration.

• Oversee AI model governance to ensure performance, continual improvement, and alignment with ethical guidelines, mitigating bias and promoting fairness and transparency.

• Program Leadership and Cross-Functional Collaboration:

• Manage and align multiple cross-functional teams, including engineering, product, data science, marketing, security, and legal, to achieve product and business goals.

• Communicate complex technical concepts effectively to non-technical stakeholders and senior leadership, ensuring alignment on deliverables and driving accountability.

• Proactively identify resource needs, manage risks, and implement mitigation plans to adapt strategies and address challenges throughout the program lifecycle.

• AI/Cloud Program Execution and Delivery:

• End-to-end ownership of delivering AI and cloud-enabled features or products, managing timelines, tracking progress, resolving roadblocks, and driving teams to achieve milestones and deadlines.

• Deliver scalable, high-performance solutions with minimal downtime, optimizing infrastructure and algorithms for efficiency.

• Leverage Agile methodologies to manage sprint planning, backlog grooming, and retrospectives, ensuring timelines and technical debt are effectively managed while maintaining quality and iterative development efficiency.

• Metrics, Monitoring, and Performance Optimization:

• Define and track key performance indicators (KPIs) for SaaS and AI products, including AI model accuracy, latency, scalability, user engagement, uptime, retention, and revenue growth.

• Implement robust monitoring systems for AI models and cloud-based SaaS products, leading incident response efforts to address outages, performance issues, or bugs.
• Use data-driven insights and post-launch feedback to continuously refine products and AI components, driving iterative improvements and optimizing performance.

Minimum Qualifications

• Bachelor's degree and 6+ or more years of program or project management experience; or an associate degree and minimum 8 years of program or project management experience.
• Minimum 2 years' experience leading cross-functional teams.
• Proven experience managing cloud-based SaaS products, including infrastructure, scalability, deployment, and security, with a focus on program-level delivery and coordination.
• Hands-on experience delivering AI-powered features within products, including managing AI model development, deployment, and performance optimization.
• Demonstrated success leading large-scale, cross-functional programs across engineering, product, data science, and other teams, with a track record of aligning business and technical stakeholders.
• Expertise with cloud platforms such as AWS, Google Cloud, or Azure, and familiarity with machine learning tools like TensorFlow, PyTorch, SageMaker, or AI APIs.
• Strong experience with Agile methodologies to manage programs effectively, including managing sprint planning, backlog grooming, and sprint retrospectives while ensuring that timelines and technical debt are managed properly.
• Exceptional communication skills, with the ability to convey updates effectively and manage stakeholder expectations.

Desired Characteristics

• Experience working within the medical device or healthcare technology sector, with a thorough understanding of regulatory requirements
• Ability to balance tactical execution with aligning short-term program goals to long-term strategic objectives
• Knowledge of SaaS business models, subscription management, and recurring billing systems, as well as managing integrations with