Data Platform Leader: Self-Service & AI Analytics

CVS Health; Washington; Hybrid; USD 107,000 - 284,000; Full time

Job summary

CVS Health is seeking a Senior Manager to lead the Data Self-Service Platform initiative, directing technical strategy and delivering a production-grade internal analytics tool that centralizes data access and empowers teams across the company.

The role emphasizes leadership, collaboration with product and business stakeholders, and mentorship of engineers to maintain robust architecture, observability, and agile practices on a modern React/Python/Snowflake stack.

Qualifications

• 5+ years of software engineering with leadership experience.
• Experience leading full-stack teams (React/Python preferred).
• Strong communication skills for stakeholder and cross-functional management.
• Experience overseeing production-grade full-stack apps and API development (gRPC/REST).
• Experience with Docker and CI/CD pipelines (Azure DevOps/GitHub).
• Knowledge of Kafka or similar event-streaming platforms and Snowflake.

Responsibilities

• Provide strategic technical leadership for the Data Self-Service Platform (React/Python/Snowflake).
• Mentor and grow a team of software engineers.
• Coordinate planning, resources, and delivery timelines.
• Bridge engineering, product, and business stakeholders.
• Ensure high code quality, observability, and robust architecture.
• Facilitate agile ceremonies and improve operational efficiency.

Skills

Leadership

Full-stack leadership

Stakeholder comms

API development

Docker & CI/CD

Kafka

Snowflake

Education

BS in Computer Science or related field

Tools

Docker

Azure DevOps

GitHub

Snowflake

Terraform

CQRS

MediatR

DBT

Job description

CVS Health is seeking a Senior Manager to lead the Data Self-Service Platform initiative, directing technical strategy and delivering a production-grade internal analytics tool that centralizes data access and empowers teams across the company.

The role emphasizes leadership, collaboration with product and business stakeholders, and mentorship of engineers to maintain robust architecture, observability, and agile practices on a modern React/Python/Snowflake stack.