Prior work experience must include: Applied knowledge of insurance domain and products specific to Property and Casualty Insurance, Reinsurance, and Specialty Insurance; Applied knowledge of Insurance Finance and experience in financial and regulatory reporting, as well as advanced analytics implementation in the insurance domain; Applied knowledge of data management practices, processes, and tools; Demonstrated experience in Data Architecture, Data Modeling, Data Engineering, Data Governance, Data Quality, Data Security and Privacy, Data Reporting and Data Visualization, and Cloud Technologies; Product development and management, product ownership, and project management; Applied knowledge of business processes, workflows, systems, and applications across various insurance business functions mainly focusing on Underwriting, Claims, Operations, Distribution and Finance; Knowledge of source system applications like Guidewire, Duck Creek, and Dynamics 365; Applied knowledge of insurance business metrics and Key Performance Indicators, both operational and financial; Experience with reports and dashboards used for understanding business performance within the company/divisions/product lines/business functions, as applicable; Leading cross-functional teams to deliver products and projects with applied knowledge of Agile framework, practices, and product development principles; Applied knowledge of third-party datasets and data integration for data enrichment and risk profiling and management in Insurance domain; Working on cloud platforms (e.g., AWS, Azure, GCP) and related services for data storage, processing, and analytics; Using visualization tools such as Power BI and programming languages such as SQL/R/Python; and, using Agile Project Management Tools like Azure Dev Ops/Rally/Jira. Requirements: Bachelor's degree in Information Technology, Computer Science, Computer/Electronics Engineering, Business Data Analytics, or a closely related field plus 5 years of experience as a Business/Data Analyst, Software Engineering Analyst, Software Engineer, Data/Analytics Engineer, or closely related position.