Director of Engineering Clinical AI leads initiatives in developing AI solutions for CVS Health. Focuses on enhancing decision-making and operational efficiency within the clinical environment.
Responsibilities
Develop and execute the strategic vision for clinical AI initiatives, ensuring alignment with organizational goals and clinical objectives.
Drive the overall AI strategy and roadmap for clinical applications.
Oversee the planning, execution, and delivery of clinical AI projects, ensuring they are completed on time, within scope, and within budget.
Establish best practices for project management across the clinical AI portfolio.
Lead the design and development of software solutions that incorporate clinical AI capabilities, ensuring they are robust, scalable, and maintainable.
Build, mentor, and lead a high-performing team of AI engineers and software developers focused on clinical applications, fostering a culture of innovation, collaboration, and continuous improvement.
Collaborate with clinical leadership, healthcare professionals, and cross-functional teams to identify opportunities for AI integration in clinical workflows and gather requirements.
Stay abreast of the latest advancements in clinical AI and machine learning technologies, evaluating their potential applications within the organization and integrating them into clinical software solutions.
Establish metrics and KPIs to assess the effectiveness of clinical AI solutions, making data-driven decisions to optimize performance and drive continuous improvement in patient care.
Ensure that all clinical AI initiatives adhere to ethical guidelines, regulatory requirements, and industry standards, promoting responsible AI usage within the clinical environment.
Requirements
Minimum of [10] years of experience in AI/ML project management or a related role, with at least [6] years in a leadership position within the healthcare sector.
Proven track record of successfully managing clinical AI projects from conception to deployment at an organizational level.
Strong understanding of AI/ML algorithms, frameworks, and tools (e.g., TensorFlow, PyTorch, etc.) as they apply to clinical data.
Proficiency in software development languages such as Python, Java, or C++.
Extensive experience with software development methodologies and best practices, including version control and testing, specifically in clinical settings.
Experience with project management methodologies (Agile, Scrum, etc.) at a strategic level.
Exceptional leadership and team management skills, with the ability to inspire and motivate a diverse team and drive organizational change in a clinical environment.
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to clinical leadership and non-technical stakeholders.
Benefits
Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
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