Manager - Data Engineering

About Us

Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.

Why We Do What We Do

In the U.S., consumers, payers, and providers face significant challenges throughout the healthcare financial journey. Zelis helps streamline the process by offering solutions that improve transparency, efficiency, and communication among all parties involved. By addressing the obstacles that patients face in accessing care, navigating the intricacies of insurance claims, and the logistical challenges healthcare providers encounter with processing payments, Zelis aims to create a more seamless and effective healthcare financial system.

Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth. With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis’ award-winning culture.

Position Overview

Job Description: Data Manager (12–15 Years Experience)

Experience Required: 12–15 years

Role Overview

We are seeking a seasoned Data Manager with strong technical and managerial expertise to lead enterprise data initiatives. The candidate should have hands-on experience with modern data platforms, ETL, BI tools, and data governance, along with proven leadership in Agile delivery and team management.

Key Responsibilities

• Data Projects: Manage data migration, data processing, and data quality initiatives ensuring reliability and performance.
• Data Warehouse Management: Lead design, development, and optimization of Snowflake-based data warehouses.
• ETL/ELT: Oversee ETL/ELT pipelines for efficient data ingestion, transformation, and integration.
• Data Governance: Implement and monitor processes for data masking, cleansing, migration, schema management, and configuration.
• BI & Reporting: Drive enterprise reporting and analytics using Power BI, Sigma, or equivalent BI tools.
• AI & Advanced Analytics: Leverage data AI/ML techniques for data analytics, business insights (good to have).
• Agile Delivery: Lead sprint planning, backlog grooming, and ensure on-time delivery in an Agile environment.
• Team Leadership: Manage and mentor cross-functional data engineering, BI, and analytics teams to deliver high-impact projects.
• Stakeholder Engagement: Collaborate with business leaders, product owners, and global teams to align data strategy with business outcomes.

Required Skills & Experience

• 12–15 years of IT experience with 7+ years in data engineering/warehousing and 5+ years in managerial roles.
• Strong expertise in Snowflake Data Warehouse concepts and architecture.
• Hands-on experience in ETL tools, data pipelines, and data processing frameworks.
• Solid exposure to BI platforms such as Power BI, Sigma, or Tableau.
• Strong foundation in Agile methodologies, sprint planning, and project delivery.
• Proven experience in managing mid- to large-sized teams (onsite/offshore).
• Excellent communication and stakeholder management skills with a global mindset.

Good to Have

• Exposure to cloud data platforms (AWS, Azure, GCP) and their native data services.
• Knowledge of DataOps, MLOps, and modern data engineering practices.
• Familiarity with Python, Spark, or dbt for data transformations.
• Certifications in Snowflake, Power BI, Agile, or PMP.

Commitment to Diversity, Equity, Inclusion, and Belonging

At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day.

Equal Employment Opportunity

Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Accessibility Support

We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability and require reasonable accommodation with any part of the application and/or interview process, please email talentacquisition@zelis.com