Tech Lead - Zelis Data Cloud

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

This role involves leading a high-performing data engineering team, managing cloud and data initiatives, and driving strategic data solutions using tools like Snowflake, DBT, Azure, and Python. The position also requires fostering team collaboration, optimizing workflows, and ensuring alignment with organizational goals and data governance standards.

About Zelis

• Zelis is a leading payments company in healthcare, guiding, pricing, explaining, and paying for care on behalf of insurers and their members.
• We align the interests of payers, providers, and consumers to deliver a better financial experience and more affordable, transparent care for all.
• Partnering with 700+ payers, supporting 4 million+ providers and 100 million members across the healthcare industry.

About ZDI

Zelis Data Intelligence (ZDI) is a centralized data team that partners across Zelis business units to unlock the value of data through intelligence and AI solutions. Our mission is to transform data into a strategic and competitive asset by fostering collaboration and innovation.

• Enable the democratization and productization of data assets to drive insights and decision-making.
• Develop new data and product capabilities through advanced analytics and AI-driven solutions.
• Collaborate closely with business units and enterprise functions to maximize the impact of data.
• Leverage intelligence solutions to unlock efficiency, transparency, and value across the organization.

Job Summary

This role involves leading a high-performing data engineering team, managing cloud and data initiatives, and driving strategic data solutions using tools like Snowflake, DBT, Azure, and Python. The position also requires fostering team collaboration, optimizing workflows, and ensuring alignment with organizational goals and data governance standards.

Key Responsibilities

• ### Team Leadership & Management (80%)
• Lead a high-performing team, ensuring alignment with department and project requirements.
• Foster a collaborative and inclusive team culture, resolving conflicts and encouraging professional growth.
• Partner with matrix managers to set goals, plan quarterly deliverables, and address blockers.
• Conduct regular performance reviews, provide constructive feedback, and promote professional development through training and mentorship.
• Ensure effective communication and collaboration across teams and stakeholders.
• Oversee the planning and execution of deliverables, adhering to organizational goals and standards.
• ### Technical Contribution & Oversight (20%)
• Provide technical guidance in data engineering processes, utilizing tools like Azure Data Factory, DBT, Snowflake, and Python.
• Collaborate with operations teams to optimize workflows and implement CI/CD practices.
• Ensure adherence to data governance, security, and compliance standards.
• Lead the design and optimization of data platforms, pipelines, and architectures to support growing data needs.
• Drive process standardization across Scrum teams, enabling reusable and efficient solutions.
• Stay updated with emerging technologies to introduce innovative solutions within the team.
• ### Additional Responsibilities
• Act as a liaison between technical and business teams, aligning data strategies with organizational objectives.
• Advocate for the adoption of advanced tools and methodologies to enhance data capabilities.
• Monitor and report on team performance and project outcomes, recommending improvements as needed.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• Minimum of 8 years of technical experience in data engineering, including expertise in Snowflake, DBT, Azure, and Python.
• At least 2 years of people management experience managing teams in data engineering or cloud initiatives.
• Strong knowledge of Agile methodologies and project management tools like Jira and Confluence.
• Excellent problem-solving skills, with a focus on data-driven decision-making and team collaboration.

Preferred Qualifications:

• Certifications in Azure, Snowflake, or BI tools (Power BI, Tableau).
• Experience with healthcare data or other regulated industries.
• Familiarity with CI/CD tools and additional cloud platforms (AWS, GCP).
• Knowledge of advanced analytics, machine learning, and AI applications.