Senior Data Engineering Manager - Platform & Analytics

CVS Health Corporation; Northern (KY); Hybrid; USD 107,000 - 261,000; Full time

Benefits offered by this job

medical, dental, and vision coverage

paid time off

retirement savings options

wellness programs

other resources

Job summary

CVS Health Corporation in the United States is seeking a Senior Manager, Data Engineering to lead a team of data engineers and DBAs, delivering scalable data platforms and analytics capabilities that support business growth and operational needs.

You will drive reliability, governance, and performance across ingestion, transformation, storage, and retrieval, partnering with engineering, architecture, security, and business leaders to align priorities and deliver impactful, AI-enabled

Qualifications

• 7+ years of experience in data engineering, database engineering, data platform operations, or related engineering disciplines.
• Plus experience overseeing enterprise‑scale data solutions, including data pipelines, database environments, and operational support responsibilities
• 7+ years of experience with SQL and solid experience with database technologies, data modeling, and database performance optimization
• 5+ years of leadership, performance management, and developing engineering teams in a people leader or lead capacity
• 5+ years of experience driving operational excellence, service stability, and continuous improvement in complex technology environments
• 5+ year of experience working effectively across engineering, infrastructure, security, architecture, and business teams to deliver integrated solutions
• 2+ years of experience using AI‑enabled tools to improve productivity, accelerate analysis, strengthen documentation, or streamline operational workflows in a responsible way, including the judgment to determine when human review and technical expertise are required
• Excellent business acumen and communication skills, including the ability to engage and influence senior business and IT leaders
• Proven analytical, problem‑solving, and decision‑making skills, with the ability to balance day‑to‑day operational needs with longer‑term engineering and platform priorities

Responsibilities

• Lead, coach, and develop a team of data engineers and DBAs, creating clear expectations, strong accountability, and ongoing growth while contributing to resource planning, organizational design, and talent strategy
• Oversee the design, delivery, support, and continuous improvement of data platforms, database‑driven solutions, and operational data capabilities, including scalable ingestion, transformation, storage, and retrieval solutions for analytics, reporting, and operational use cases
• Drive operational excellence across the data environment through strong support practices, monitoring, performance optimization, resiliency planning, root cause analysis, automation, and reduction of operational risk
• Provide leadership across data engineering, database management, and select platform/infrastructure responsibilities, promoting strong disciplines in data quality, governance, service reliability, disaster recovery, scalability, and long‑term platform health
• Partner across engineering, architecture, infrastructure, security, and business teams to deliver reliable, secure, and scalable solutions aligned to enterprise priorities, while translating technical priorities, risks, and improvement opportunities into clear, business‑relevant communication for senior business and IT leaders
• Foster a culture of engineering excellence, collaboration, accountability, continuous improvement, and thoughtful innovation, including the responsible use of AI‑enabled tools to improve productivity, analysis, documentation, and operational efficiency

Skills

SQL

Data engineering

Data pipelines

Leadership

Cross-functional collaboration

AI-enabled tools

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Python

Spark

Cloud platforms (AWS/Azure/GCP)

Data warehousing

Job description

CVS Health Corporation in the United States is seeking a Senior Manager, Data Engineering to lead a team of data engineers and DBAs, delivering scalable data platforms and analytics capabilities that support business growth and operational needs.

You will drive reliability, governance, and performance across ingestion, transformation, storage, and retrieval, partnering with engineering, architecture, security, and business leaders to align priorities and deliver impactful, AI-enabled