Manager, Analytics Engineering

Position Purpose: Leads an Analytics Engineering team in designing, building, and optimizing scalable, analytics-ready data models and solutions. Bridges business needs with technical execution, ensuring the delivery of high-quality, certified datasets that support enterprise-wide decision-making and AI enablement. Mentors analytics engineers, drives adoption of modern data transformation tools like dbt, and partners with stakeholders to translate complex business challenges into actionable data products. Responsibilities include roadmap planning, process improvement, quality assurance, and alignment with data governance and AI-readiness standards. 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. Education/Experience: 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. Pay Range: $102,900.00 - $190,500.00 per year At Centene, we connect people to the care they need to live healthier lives — and the work you do here makes that impact real every day. You’ll take on meaningful challenges that directly support individuals, families, and communities, building your skills while making healthcare more accessible and effective. It’s work with a purpose you can see, backed by a team committed to improving lives well beyond the workday. Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law , including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act