4611 -Manager - Data Ops Engineer

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, strong 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 and optimize cloud resource utilization and costs. ● Partner with the customer implementation team to estimate, track, and execute handover processes effectively. ● Drive automation initiatives to reduce manual intervention, improve efficiency, and enhance key unit metrics. ● Collaborate cross-functionally with internal teams (Product, Infrastructure, Database, Analytics) to resolve business-critical issues with minimal disruption. ● Take ownership of Root Cause Analyses (RCAs) and ensure timely closure with preventive measures. Management ● Lead resource planning, project effort estimations, and allocation for multiple customer accounts. ● Ensure smooth project transitions by driving structured handover processes. ● Own escalations and ensure efficient and timely resolutions. ● Track, manage, and prioritize work items through JIRA (or equivalent), ensuring adherence to defined SLAs. ● Commit to delivering high-quality outputs with zero data quality issues…