The Vice President, Enterprise AI & Engineering is responsible for implementing ASHN's AI strategy and maturing its Data & Application functions to build, acquire, manage, provision, and govern rich AI & data assets in the post-acute care space, ultimately creating an 'AI Powered Enterprise'.
Requirements
- 12-15 years of demonstrated technical experience in IT overseeing all aspects of the application, data engineering/data analytics function including architecture, design, and development
- 2-4 years of deep experience with AI/ML, Application/Data/Analytical tools and AWS cloud technologies to stitch structured and unstructured data in a healthcare environment working with claims and patient data
- 2-4 years of experience with overseeing the development of AI Powered transactional/analytical applications utilizing Cloud technologies, RPA technologies, and AI/ML tools
- Hands-on experience with Artificial Intelligence, Cloud Architectures, Engineering and Data Analytics to work alongside senior technical resources
- Experience with low/no code data integration technologies to aggregate large volumes of data
- Experience with data modeling, data warehousing/visualization preferably in a healthcare environment
- Partner with the IT-Infra teams to define, install, configure, and maintain the infrastructure that guarantees application performance and uptime expectations for business and operational needs
Responsibilities
- Provide forward thinking GenAI/Agentic AI ideas across the enterprise to optimize our operating environment and enhance patient care delivery mechanisms
- Architect innovative ways to solve business problems with use of AI and Application/Data Engineering in supporting core ASHN applications
- Direct and mentor AI research and development, drive Proof-of-Concepts to showcase potential Return on AI Investments and home-grown applications
- Infuse AI into ASHN home-grown applications to create efficiencies in clinical documentation, OASIS review, other clinical and non-clinical decisions
- Lead the creation, enhancement, and lifecycle management of AI and Data applications, products and tools that not only meet business requirements but delight teammates, are intuitive to use in their daily workflows while also ensuring that robust, efficient algorithms and pipelines are built for training
- Implement and monitor tools to track performance of deployed AI systems like model drift or bias
- Oversee the delivery of RPA and intelligent automation, integrating bots with orchestration platforms and AI services (such as document understanding, conversational AI, and decisioning engines) to reduce operating costs and improve accuracy in high‑volume administrative processes
Other
- Collaborate with the office of CIO and key stakeholders to define and lead the long-term and short-term roadmap for enterprise AI, data, and application initiatives, including business cases, budgets, and clear ROI targets aligned to clinical and operational priorities
- Provide thought leadership to key stakeholders and partners in determining which AI/Application/Data/BI solutions will enable the enterprise to accomplish a more “intelligent and informed execution” with a compelling ROI
- Champion an engineering and data‑driven culture that reflects the organization’s core values, fostering innovation, talent development, open‑source contribution where appropriate, and cross‑functional collaboration across clinical, operations, and other departments
- Use qualitative feedback and quantitative adoption data to guide continuous improvement, proactively identify friction points, and influence cross-functional partners toward teammate-first solutions
- Build on-going mechanisms for user input, usability testing, and real-world validation to ensure solutions resonate with front-line and operational teammates. Establish and maintain a user satisfaction benchmark of 85% or higher, supported by statistically significant participation in feedback surveys
