Mount Sinai Health System is looking to solve the problem of executing the strategic direction, continuous improvement, functional and technical roadmap for AI products, and competing and differentiating in product delivery
Requirements
- In-depth knowledge of associated technology areas that could impact area of responsibility
- Healthcare technology experience preferred
- Knowledge of AI marketplace (commercial vendor tools, Epic-integrated features, and emerging digital and AI innovations)
- Experience with AI governance and compliance standards
- Knowledge of technical design and architecture
- Experience with product backlog management and prioritization
- Knowledge of data science and engineering principles
Responsibilities
- Plan, manage, and drive applications for success in meeting product experience goals
- Manage backlog of product deliverables, and groom according to learnings from qualitative and quantitative sources and in alignment with organizational goals
- Consult with stakeholders to define requirements and develop solutions translating client’s business requirements into specific systems, applications and designs for solutions
- Ensure all products meet internal AI governance and compliance standards by routing applicable tools through the AI Assurance Lab for risk evaluation, model card documentation, and performance monitoring
- Lead the technical design process, the skillful application of experience, research and due diligence to the planning and execution of development and architecture
- Prioritize the product backlog as a list of work for development derived from the product roadmap and its requirements
- Partner with data science and engineering teams to ensure AI models are deployable, scalable, and maintainable
Other
- Bachelor’s degree in a technical or healthcare discipline
- Nine or more years of related experience
- Excellent verbal and written communication skills
- Ability to translate complex technical concepts into understandable terms
- Ability to gain buy-in from stakeholders to resolve significant architecture issues
