Remote Director, Digital Product - Membership & Retention

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

Benefits offered by this job

Comprehensive benefits package

Bonus/commission program

Equity award program

Job summary

CVS Health is seeking a Lead Director of Digital Product for Membership, Engagement & Retention. You will lead a cross-functional team responsible for strategy, architecture, and delivery powering patient retention and engagement initiatives.

The role collaborates with executive leadership across Membership, Retention, PEEP and Service Recovery to digitize workflows, improve attribution engines, and optimize value-based programs.

Qualifications

• Education: Bachelor’s degree; Graduate degree and/or clinical background preferred.
• Experience: 10-15+ years in healthcare operations, clinical technology product management.
• Track record partnering with care networks to improve growth and engagement pathways.

Responsibilities

• Direct ownership of retention portfolios across Membership, Engagement and Retention programs.
• Oversee architecture, data pipelines, and integrations (Salesforce/CRM, Epic) with reliability and data integrity.
• Drive agile delivery and sprint planning across multi-disciplinary pods.
• Partner with executive leaders to digitize workflows and reduce manual interventions.

Skills

Domain leadership

Healthcare software

Product management

CRM (Salesforce)

Data architecture

Agile delivery

Cross-functional collaboration

Communication

Education

Bachelor's degree in a relevant field

Tools

Salesforce ecosystem

Epic EHR

Data pipelines

API integration

Job description

CVS Health is seeking a Lead Director of Digital Product for Membership, Engagement & Retention. You will lead a cross-functional team responsible for strategy, architecture, and delivery powering patient retention and engagement initiatives.

The role collaborates with executive leadership across Membership, Retention, PEEP and Service Recovery to digitize workflows, improve attribution engines, and optimize value-based programs.