Analytics Engineering Lead — AI-Ready Data (Remote)

Centene Corporation; United States; Hybrid; USD 103,000 - 191,000; Full time

Benefits offered by this job

Health insurance

401K and stock purchase plans

Tuition reimbursement

Paid time off and holidays

Flexible work arrangements (remote/hyr

Remote/hybrid/office options

Job summary

Centene Corporation seeks an Analytics Engineering Manager to lead and grow a high-performing team building scalable, analytics-ready data models. You will mentor engineers, drive data governance, and partner with data science and AI teams to enable model training and deployment.

The role emphasizes modern tooling (dbt, Snowflake, BigQuery), data quality, and enterprise-wide data products aligned with business goals. A bachelor’s degree and 5+ years of experience are required.

Qualifications

• Bachelor’s degree and 5+ years of related experience.
• Experience leading analytics engineering teams.
• Experience with Snowflake, SQL, dbt and modern data platforms.

Responsibilities

• Lead, mentor, and grow a high-performing team of analytics engineers.
• Translate business requirements into scalable analytics solutions.
• Define and implement best practices for data modeling, transformation, and delivery.
• Drive the adoption of modern analytics engineering tools and methodologies, including dbt.
• Oversee the design and maintenance of analytics-ready data models.
• Ensure datasets are structured, labeled, and validated for AI and machine learning use cases.
• Monitor and improve data quality, integrity, and consistency across platforms.
• Plan and prioritize analytics engineering initiatives aligned with business goals.

Skills

Team leadership

Mentoring

Data modeling

dbt

Snowflake

SQL

Data governance

AI readiness

Stakeholder communication

Education

Bachelor's degree

Tools

Snowflake

BigQuery

Git

CI/CD

Job description

Centene Corporation seeks an Analytics Engineering Manager to lead and grow a high-performing team building scalable, analytics-ready data models. You will mentor engineers, drive data governance, and partner with data science and AI teams to enable model training and deployment.

The role emphasizes modern tooling (dbt, Snowflake, BigQuery), data quality, and enterprise-wide data products aligned with business goals. A bachelor’s degree and 5+ years of experience are required.