Interoperability Provider Adoption Lead

CVS Health; Florida; Hybrid; USD 54,000 - 146,000; Full time

Benefits offered by this job

Medical, dental, and vision

Paid time off

Retirement savings

Wellness programs

Eligibility-based resources

Job summary

CVS Health in Florida seeks a regional Interoperability engagement lead to drive provider onboarding and adoption of clinical data connections. You will coordinate with Network, providers, and internal teams to move providers through onboarding and improve performance.

You will translate priorities into executable plans, reduce administrative burden, and align with CVS Health interoperability priorities. This role emphasizes project discipline and data-driven decisions to support better outcomes.

Qualifications

• Bachelor’s degree in a relevant field.
• Healthcare or insurance knowledge preferred.
• Strong cross-functional collaboration capabilities.

Responsibilities

• Drive provider onboarding and adoption of Interoperability data connections in a region.
• Lead provider engagement activities, including outreach and meetings.
• Communicate opportunities and value to strengthen adoption.
• Coordinate onboarding across providers and internal teams to maintain progress.
• Maintain tracking, reporting, and dashboards for stakeholders.

Skills

Partnership & collaboration

Project management

Data tracking & reporting

Problem solving

EHR/Health Info Exchange

Provider onboarding

Education

Bachelor’s degree in business, healthcare administration, health information management, public health, or related field

Job description

CVS Health in Florida seeks a regional Interoperability engagement lead to drive provider onboarding and adoption of clinical data connections. You will coordinate with Network, providers, and internal teams to move providers through onboarding and improve performance.

You will translate priorities into executable plans, reduce administrative burden, and align with CVS Health interoperability priorities. This role emphasizes project discipline and data-driven decisions to support better outcomes.