Nithin Kumar Raghavan

Director - Data and Analytics

MetLife

Cary, United States

10.2019 - Current

Leading the data management function of the data and analytics organization.
Responsible for the technical delivery of the data engineering stream and everything to do with data in the descriptive, predictive, and prescriptive analytical use cases.
The team is involved in working closely with the business analytics engagement and relevant business/IT stakeholders.
We are vastly involved in research, recommendations, and support of various analytical use cases dealing with different kinds of structured and unstructured data.
We work across lines of business within the organization to generate value via data and analytics.
Technologies include on-prem big data and cloud technologies in GCP and Azure.
Leading the technical side of the data enablement/catalyst team within the data and analytics organization.
Responsible for the technical delivery of ETL, data engineering, and everything to do with data in the descriptive, predictive, and prescriptive analytical use cases.
The team is involved in working closely with the business analytics engagement and relevant business/IT stakeholders.
We are vastly involved in research, recommendations, and support of various analytical use cases dealing with different kinds of structured and unstructured data.
Managed crisis situations to minimize impact on operations and reputation.
Implemented new technologies to streamline processes and enhance productivity.
Led cross-functional teams to drive project completion within budget and deadlines.
Implemented successful business strategies to increase revenue and target new markets.
Prepared presentations for board meetings summarizing key developments within the company.
Established performance metrics and evaluated staff to promote continuous improvement.
Cultivated relationships with stakeholders to secure support and funding for key initiatives.
Improved productivity initiatives, managing budgets and accounts, coordinating itinerary and scheduling appointments.
Analyzed customer feedback data to identify trends in product performance or customer service issues.
Monitored market conditions and competitor activities to inform business decisions.