GE HealthCare Senior Director Technical Program Management 

France, Bourgogne – Franche-Comté 

681953867

As the
Senior Director of Technical Program Management, 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.

• 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.

• 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 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 cross-functionally 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 well-governed, continuously improved, and aligned with ethical guidelines to mitigate bias and promote fairness.
• Experience in implementing monitoring systems for AI models and cloud-based SaaS products .
• Expert with MS: Suite including Power Point, Excel and Word
• Current Project Management Professional (PMP) certification
• Lean/Six Sigma certification