Teams at MetLife

Team
Product + Tech

To “win the future” at MetLife, global employees actively seek new ways to innovate. “We’re in a transitional phase,” said Scrum Lead III Pushpalata Sail, adding that the goal is to accelerate MetLife’s digital transformation and application modernization with cloud migration, automation and agile delivery. “These evolutions will help us harness our collective expertise across technology, operations and the business; further enhance our customer-centric, end-to-end delivery approach; and increase our speed to market,” said Sail. “We’re integrating business process reengineering and automation to create scale, which makes it an exciting time to join us.”

Recently posted jobs

8 Hours AgoSaved
Hybrid
Hyderabad, Telangana, IND
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Design, develop, test, deploy, and support Workday integrations for Financials and Supply Chain modules using Workday Studio, EIB, Core Connectors, and Web Services. Analyze business requirements, build mappings and documentation, collaborate with functional teams for FSCM processes, manage data migrations and third-party integrations, participate in release/regression testing, and identify automation and optimization opportunities.
8 Hours AgoSaved
Hybrid
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead BI analytics by building and optimizing Power BI dashboards, data models, DAX measures, and data pipelines. Prepare and transform data, automate reporting, leverage Power Platform and AI tools, and collaborate with stakeholders to deliver scalable, business-aligned analytics solutions.
8 Hours AgoSaved
Hybrid
Pune, Maharashtra, IND
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Design, build, validate and deploy production-grade rule-based and ML models using structured and unstructured data. Perform EDA, feature engineering, monitor and improve model performance, ensure compliance and responsible AI, collaborate across business and tech teams, and mentor other data scientists.