Principal Technical Program Manager
Principal Technical Program Manager
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Job Description
Job Description Summary
At GE HealthCare we are committed to bringing cloudbased 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 patientcentric innovation strategy to delivering new digital and machine learning capabilities were committed to leading digital transformation improving outcomes for patients and providers and creating a world where healthcare has no limits.Job Description
Responsibilities:
As the Principal Technical Program Manager you will drive the success of complex crossfunctional programs in the Digital Cloud and AI space with a focus on delivering cloudbased SaaS solutions and AIenabled products. You will lead critical initiatives in a highly regulated healthcare environment.
- SaaS Program Management:
- Lead the endtoend delivery of SaaS products or cloudbased solutions from conception to launch with a focus on operationalizing and scaling the product. Manage milestones timelines and crossfunctional coordination to meet performance reliability and security standards.
- Oversee SaaS architecture and deployment including multitenant 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 AIenabled 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 CrossFunctional Collaboration:
- Manage and align multiple crossfunctional teams including engineering product data science marketing security and legal to achieve product and business goals.
- Communicate complex technical concepts effectively to nontechnical 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 and Delivery:
- Endtoend ownership of delivering AI and cloudenabled features or products managing timelines tracking progress resolving roadblocks and driving teams to achieve milestones and deadlines.
- Deliver scalable highperformance 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 cloudbased SaaS products leading incident response efforts to address outages performance issues or bugs.
- Use datadriven insights and postlaunch feedback to continuously refine products and AI components driving iterative improvements and optimizing performance.
Minimum Qualifications:
- Bachelors 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 crossfunctional teams.
- Proven experience managing cloudbased SaaS products including infrastructure scalability deployment and security with a focus on programlevel delivery and coordination.
- Handson experience delivering AIpowered features within products including managing AI model development deployment and performance optimization.
- Demonstrated success leading largescale crossfunctional 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 with aligning shortterm program goals to longterm strategic objectives
- Knowledge of SaaS business models subscription management and recurring billing systems as well as managing integrations with payment providers and understanding their implications on revenue customer retention and growth.
- Understanding of the critical security concerns in cloud deployments such as data protection encryption identity management and compliance (e.g. GDPR SOC 2 and work crossfunctionally to implement these standards.
- Experience in managing the cloud infrastructure needed to support SaaS products including scalability cost management and ensuring service availability. The TPM should be able to manage large distributed cloud environments and work with engineers to optimize cloud resource usage and performance.
- Experience managing the entire AI development lifecycle including data collection model training deployment monitoring and iteration while ensuring models are wellgoverned continuously improved and aligned with ethical guidelines to mitigate bias and promote fairness.
- Experience in implementing monitoring systems for AI models and cloudbased SaaS products.
- Expert with MS: Suite including Power Point Excel and Word
- Current Project Management Professional (PMP) certification
- Lean/Six Sigma certification
GE HealthCare offers a great work environment professional development challenging careers and competitive compensation. GE HealthCare is anEqual Opportunity Employer. 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.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID19 some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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