Senior Manager, Software Development Engineering - ML/AI Clinical Products

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary
We are seeking a highly skilled and experienced Senior Manager, Software Development Engineering - ML/AI Products to lead our software development team in delivering innovative clinical products that enhance patient care and streamline operations within the healthcare domain. The ideal candidate will have a strong background in software engineering, a deep understanding of healthcare systems, and a proven track record of managing high-performing teams. This role will focus on driving the architectural vision, development processes, and best practices for our software initiatives, with a particular emphasis on integrating machine learning (ML) and artificial intelligence (AI) capabilities into clinical applications.

Responsibilities:

• Team Leadership: Lead, mentor, and manage a team of software engineers, fostering a culture of collaboration, innovation, and continuous improvement.
• Software Development Strategy: Define and drive the software development strategy for ML/AI products, ensuring alignment with organizational goals and clinical objectives. Collaborate with cross-functional teams to gather requirements and identify opportunities for software solutions.
• Building Clinical Products: Oversee the design, development, and deployment of clinical software products that leverage ML and AI technologies to improve clinical decision-making, enhance patient engagement, and optimize healthcare workflows.
• Architectural Oversight: Ensure the design and implementation of software architectures that facilitate seamless integration with healthcare systems, ensuring compliance with interoperability standards such as HL7, FHIR, and DICOM.
• ML/AI Integration: Lead the development and integration of machine learning and artificial intelligence solutions into software applications, focusing on predictive analytics, natural language processing, and other advanced capabilities.
• AI Agentic Responsibilities: Design and implement AI agents that can autonomously perform tasks, provide recommendations, and interact with users in a natural and intuitive manner. Ensure that these agents are trained on relevant clinical data and adhere to ethical guidelines.
• Agile Development Practices: Implement and promote Agile methodologies within the team, ensuring efficient development processes and timely delivery of high-quality software products.
• Technology Integration: Leverage modern technologies and frameworks (e.g., cloud platforms like Google Cloud, AWS, Azure; programming languages such as Python, Java, or C++) to build scalable and efficient software solutions.
• Performance Monitoring: Establish metrics and KPIs to assess the effectiveness of software development initiatives, making data-driven decisions to optimize performance and drive continuous improvement.
• Stakeholder Engagement: Collaborate with clinical staff, IT, and business units to ensure stakeholder alignment and gather feedback for ongoing software enhancements.
• Research and Development: Stay current with advancements in software engineering, healthcare technologies, and industry trends, evaluating their potential applications within the organization.
• Compliance and Governance: Ensure that all software development initiatives adhere to regulatory requirements, ethical guidelines, and industry standards, promoting responsible software usage and data governance.

Required Qualifications

• Experience:
  • Minimum of 5+ years of experience in software development, with a focus on healthcare systems and technologies.
  • Minimum of 3+ years of people management experience, successfully leading and developing software engineering teams.
  • Proven track record of successfully managing software development teams and delivering complex clinical software solutions.
• Technical Skills:
  • Strong understanding of software development methodologies (e.g., Agile, DevOps) and best practices.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and AI technologies.
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