Senior Manager, Data Self-Service Platform & AI Analytics

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

Job summary

CVS Health is seeking a Senior Manager to lead the Data Self-Service Platform team. You will provide strategic direction, mentor engineers, and oversee end-to-end delivery of a production-grade data access and analytics solution that enables teams to model and access data with confidence.

This role emphasizes collaboration across engineering, product, and business stakeholders, driving modernization, observability, and scalable architecture while aligning technical execution with business

Qualifications

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

Responsibilities

• Provide strategic technical leadership for the Data Self-Service Platform (React/Python/Snowflake).
• Manage, mentor, and foster the professional growth of a team of software engineers.
• Coordinate project planning, resource allocation, and delivery timelines.
• Serve as a bridge between engineering, product, and business stakeholders.
• Ensure high code quality, observability, and robust architecture practices.
• Facilitate agile ceremonies and operational efficiency.

Skills

Leadership/management

Full-stack leadership

Communication

Production-grade software

API development (gRPC/REST)

CI/CD pipelines

Docker

Kafka

Snowflake

Education

BS in Computer Science

Tools

Docker

Azure DevOps

GitHub

Kafka

Snowflake

gRPC/REST

Job description

CVS Health is seeking a Senior Manager to lead the Data Self-Service Platform team. You will provide strategic direction, mentor engineers, and oversee end-to-end delivery of a production-grade data access and analytics solution that enables teams to model and access data with confidence.

This role emphasizes collaboration across engineering, product, and business stakeholders, driving modernization, observability, and scalable architecture while aligning technical execution with business