Remote Lead Director, Digital Product — Clinical Docs & Care

CVS Health; California; Hybrid; USD 144,000 - 288,000; Full time

Benefits offered by this job

Bonus program

Equity awards

Comprehensive benefits

Job summary

CVS Health is seeking a Lead Director of Digital Product for Clinical Documentation & Care Delivery. You will steer technology strategy for core clinical care products, including documentation, in-clinic and virtual encounters, and care coordination with a focus on safety and value-based care.

You will manage product managers, Epic analysts, software engineers, data scientists, and designers to translate clinical vision into scalable roadmaps.

Qualifications

• Executive presence with senior stakeholders.
• Epic EHR workflows and configurations experience.
• Deep knowledge of healthcare operations and value-based care.
• Proven track record leading cross-functional teams in healthcare tech.
• Strong problem framing and accountability for outcomes.
• Empathetic, rigorous people leadership.

Responsibilities

• Partner with care model leaders to drive efficient, safe outpatient care delivery.
• Lead cross-functional technology teams to execute care model strategies.
• Translate ideas into Epic/technology architectures and actionable specs.
• Ensure data integrations with external sources support real-time clinical insights.
• Drive continuous improvement and measurable clinical/financial outcomes.
• Foster a curious, resilient, high-performing team culture.

Skills

Executive presence

Epic expertise

Healthcare operations

Product leadership

Problem solving

People leadership

Education

Bachelor's degree

Graduate degree

RN/MD/DO/NP/PA preferred

Job description

CVS Health is seeking a Lead Director of Digital Product for Clinical Documentation & Care Delivery. You will steer technology strategy for core clinical care products, including documentation, in-clinic and virtual encounters, and care coordination with a focus on safety and value-based care.

You will manage product managers, Epic analysts, software engineers, data scientists, and designers to translate clinical vision into scalable roadmaps.