The Role

The Data Ops Manager will be responsible for overseeing the successful delivery of data integration, analytics support, and operational excellence across multiple healthcare clients, with a strong focus on value-based care models.

The manager will lead cross-functional collaboration with product, infrastructure, and database teams, ensuring seamless operations, adherence to SLAs, high data quality, and enhanced customer satisfaction. They will also be expected to provide thought leadership in identifying automation opportunities, optimizing cloud costs, and enabling actionable data insights to support customer outcomes.

Key Responsibilities

● Deliver insights to support value-based care decision-making.

● Own end-to-end customer delivery including BAU, upgrades, migrations, and issue resolution.

● Drive automation and optimize cloud resource usage and costs.

● Collaborate with cross-functional teams to ensure SLA-compliant, high-quality outputs.

● Lead project planning, resource allocation, and manage escalations.





● Track performance using OKRs and ensure continuous service improvement.

● Manage customer portfolio with a focus on CSAT.

● Provide team leadership, mentoring, and foster a culture of learning and accountability.

● Demonstrate strategic thinking, solid problem-solving, and effective communication

Business

● Translate healthcare data into meaningful insights to support customer decision-making within value-based

care frameworks.

● Act as a trusted advisor to clients by identifying early warning signs, raising potential risks, and offering

proactive solutions.

Process & BAU Operations

● Take complete ownership of assigned customers, ensuring smooth delivery of BAU activities.

● Assume end-to-end ownership of platform upgrades, migrations, and system enhancements.

● Lead troubleshooting of complex data integration and analytics issues, identifying root causes and resolving

bottlenecks across data flows.

● Proactively manage

📌 1111 -Manager - Data Ops Engineer (Noida)
🏢 Innovaccer Analytics
📍 Noida