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property and casualty insurance · catastrophe risk modeling

Ind Senior Leader, Data Hyderabad (India)

IndiaPosted 1 month ago
Engineering ManagementStaff+Full Time; Regular
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IND Executive Director, Data - GCC131 Were determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals and to help others accomplish theirs, too. Join our team as we help shape the future. Position Overview We are seeking a highly accomplished Senior Leader Data to help lead and execute the organizations enterprise Data, Analytics, and Artificial Intelligence strategy. Reporting directly to the Head of Data & AI, this role will be responsible for translating strategic data and AI priorities into scalable platforms, highimpact data products, and productiongrade AI solutions. The role requires deep expertise in contemporary data engineering, cloud-native architectures, real-time and streaming platforms, and AI-ready data pipelines, combined with robust people leadership and cross-functional collaboration skills. The Senior Director will oversee critical data domains, lead large engineering teams, and ensure the delivery of reliable, governed, and businessaligned data and AI capabilities. Key Responsibilities Data & AI Platform Leadership Lead and scale enterprise data engineering and AI platform initiatives, aligning execution with the broader enterprise Data & AI strategy. Own the design, build, and operation of up-to-date data platforms, including data lakes, lake houses, warehouses, and realtime streaming ecosystems. Drive adoption of cloud-native data architectures and engineering best practices across large and complex data settings. Data Engineering & Pipelines Oversee endtoend data ingestion, transformation, enrichment, and orchestration pipelines supporting analytics, data science, AI/ML, and GenAI use cases. Lead implementation of AIready data pipelines, including: Structured, semistructured, and unstructured data processing Metadata management, data quality, and observability Scalable batch and streaming data .

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