Note: The job is a remote job and is open to candidates in USA. Centene Corporation connects people to the care they need to live healthier lives and works to make healthcare more accessible and effective. The Manager, Analytics Engineering leads a team that designs, builds, and optimizes scalable analytics-ready data models and solutions, while driving data quality, governance, AI readiness, and delivery of enterprise data products.
Responsibilities
- Lead, mentor, and grow a high-performing team of analytics engineers
- Foster a collaborative, inclusive, and innovative team culture
- Provide regular coaching, feedback, and career development support
- 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 efficient and reliable data pipelines using Snowflake, SQL and dbt
- Promote reusable, modular, and well-documented code across the team
- Ensure datasets are structured, labeled, and validated for AI and machine learning use cases
- Collaborate with data science and AI teams to support model training and deployment
- Advocate for scalable data architecture that supports advanced analytics
- Implement data governance standards, including metadata management and data lineage
- Monitor and improve data quality, integrity, and consistency across platforms
- Ensure compliance with enterprise data policies and regulatory requirements
- Partner with business leaders, product managers, and data consumers to understand needs and deliver insights
- Communicate technical concepts and analytics outcomes to non-technical audiences
- Present findings, roadmaps, and recommendations to senior leadership
- Manage the analytics engineering infrastructure, including cloud data platforms (e.g., Snowflake, BigQuery)
- Evaluate and integrate new tools to enhance productivity and scalability
- Maintain CI/CD pipelines and Git-based workflows for analytics code deployment
- Plan and prioritize analytics engineering initiatives aligned with business goals
- Track progress, measure impact, and ensure timely delivery of data products
- Identify and mitigate risks related to data infrastructure and analytics operations
- Performs other duties as assigned
- Complies with all policies and standards
Skills
- Requires a Bachelor's degree and 5+ years of related experience
- Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position
Benefits
- Health insurance
- 401K and stock purchase plans
- Tuition reimbursement
- Paid time off plus holidays
- A flexible approach to work with remote, hybrid, field or office work schedules
Company Overview
Company H1B Sponsorship