City/State
Virginia Beach, VAWork Shift
First (Days)Overview:
Overview
The AI Business Process Engineering Architect will lead large-scale business process transformation initiatives across the organization, with a strong focus on operational excellence in clinical operations, care management, and revenue cycle. This role centers on identifying opportunities for automation and AI enablement, and partnering with technical teams to bring those solutions to life.
The ideal candidate brings deep healthcare operational expertise and understands how clinical and administrative workflows function end-to-end. While exposure to AI, automation, and analytics is beneficial, the priority is someone who can re-engineer processes, drive adoption, and ensure AI-enabled solutions fit real-world workflows.
The Architect will act as a key leader, collaborating with senior stakeholders to design and implement innovative, scalable, and efficient business solutions that deliver measurable impact. This role sits at the intersection of technology, process, and transformation, bridging what AI Engineers build, what Enterprise Engineers enable, and how the business operates day-to-day.
Partner with Enterprise Engineers and operational leaders to align process redesign with system architecture, data flow, and integration needs.
Work with clinical, care coordination, revenue cycle, and other business teams to understand current workflows and identify opportunities for improvement.
Assess and map current-state processes and design future-state workflows that support AI and automation integration.
Conduct process evaluations to identify inefficiencies and opportunities for standardization and optimization.
Collaborate with AI and automation teams to ensure solutions fit real-world workflows and deliver business value.
Support governance efforts to promote responsible AI adoption, compliance, and risk mitigation.
Define measurable success metrics such as improved cycle time, accuracy, decision speed, or cost efficiency.
Monitor implemented workflows and provide recommendations for continuous improvement.
Support change management initiatives to help operational teams adopt new processes.
Ensure communication, training, and transition support are built into transformational initiatives.
Familiarity with AI/ML concepts, workflow automation, RPA, NLP, data flows, and generative AI tools.
Ability to translate operational needs into solution requirements for technical teams
Education
Bachelor’s or master's in industrial engineering, Business Process Management, Computer Science, or related field. (Preferred)
Certification/Licensure
Lean Six Sigma, Process Re-engineering, or AI-for-Leaders credentials. (Preferred)
Experience
Background working with healthcare workflows such as clinical operations, care coordination, access management, or revenue cycle (preferred).
Experience leading cross-functional initiatives and partnering with operational leaders to understand current processes and define future-state workflows.
Exposure to AI, automation, analytics, or digital transformation projects, with the ability to translate operational needs into solution requirements.
Skilled in process mapping, requirements gathering, and documenting workflows using structured methodologies (Lean, Six Sigma, etc.).
Experience supporting change management and adoption for redesigned processes.
Demonstrated ability to measure and communicate process improvement outcomes (cycle time, accuracy, efficiency, or productivity).
Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves.
In support of our mission “to improve health every day,” this is a tobacco-free environment.
For positions that are available as remote work, Sentara Health employs associates in the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.