Digital Care Transformation Orchestrator

About the role

The Digital Care Transformation Orchestrator is accountable for the end-to-end arc of technology change within an assigned clinical or business portfolio: understanding what the portfolio needs, shaping the solution against network architecture and governance standards, delivering it as a managed program of work, and proving the value it returned. This role integrates the relationship and demand-shaping function, and the delivery and execution function, creating speed to value. The incumbent partners directly with senior clinical, operational, and financial leaders; translates their objectives into a governed portfolio of initiatives; and leads delivery of those initiatives through structured project and program methods. The role carries specific accountability for emerging technology governance, evaluating, piloting, and sponsoring artificial intelligence, ambient and agentic capabilities, automation, and other novel technologies through a defined intake, validation, monitoring, and retirement lifecycle, and for ensuring that every solution introduced conforms to enterprise architecture, interoperability, security, and data standards rather than adding to technical debt. Levels II, III, and IV are distinguished by portfolio scope, architectural authority, governance, leadership, and the degree to which the incumbent shapes enterprise standards rather than applying them. Level IV additionally owns network-wide modernization frameworks and the emerging technology governance model itself.

Responsibilities

• Understand portfolio needs and shape solutions against network architecture and governance standards.
• Deliver technology changes as managed programs of work and prove returned value.
• Integrate relationship/demand‑shaping and delivery/execution functions to create speed to value.
• Partner with senior clinical, operational, and financial leaders.
• Translate leader objectives into a governed portfolio of initiatives.
• Lead delivery of initiatives through structured project and program methods.
• Own emerging technology governance: evaluate, pilot, and sponsor AI, ambient and agentic capabilities, automation, and other novel technologies via intake, validation, monitoring, and retirement lifecycle.
• Ensure all solutions conform to enterprise architecture, interoperability, security, and data standards to avoid technical debt.
• For Level IV: own network‑wide modernization frameworks and the emerging technology governance model itself.

Qualifications

• Education: Bachelor’s degree in any discipline required; associate’s degree in a clinical field with commensurate additional experience considered; master’s degree or advanced clinical degree preferred at Levels II and III and strongly preferred at Level IV.
• Experience: Three years of similar experience.
• Level placement: Hiring team determines appropriate level; level and salary upon hiring are commensurate with years of relevant experience.