About this role

Lead the strategy and execution of complex and large Data and Analytics portfolio.
Develop and implement a strategic roadmap to modernize legacy data and analytics ecosystems using Cloud and AI.
Ensure data architecture and solutions align with enterprise-wide standards for Data, AI and Analytics.
AI Data Engineering leader responsible for Implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support AI and Agentic solutions.
Design, build and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery.
Oversee the design, development, and maintenance of lakehouse architectures, data pipelines, data warehouses, data lakes and reporting systems.
Mentor and lead a high-performing team including Directors, Business data analysts, Data engineers and Release train engineers.
Identify and champion developer productivity improvements across the end-to-end data management lifecycle.

12+ years in data engineering, data management and building large-scale data ecosystems.
Bachelor's or Master’s degree in Computer Science, Data Science or a related field.
7+ years in leadership roles managing large and complex data and analytics portfolio with large size teams.
Proven strategic and innovative thinker with a track record of enabling transformative data capabilities.
Mastery level data engineering and architecture skills, including deep expertise in data architecture patterns, lakehouses , data integration, data domains, data products, conversational business intelligence, and cloud technology capabilities.
Technical expertise in LLMs, AI platforms, prompt engineering, LLM optimization, Retrieval-Augmented Generation (RAG) architectures and vector database technologies (Vertex AI, Postgres, OpenSearch, Pinecone etc.).
Strong experience with GCP, Vertex AI or AWS required.
Experience in multi cloud environment.
Strong experience with the design and development of complex data ecosystems leveraging next-generation cloud technology stack across AWS or GCP Cloud and Snowflake.
Exceptional presentation and verbal/written communication skills; must be able to communicate effectively at all levels across the organization.
Preferred experience in the Employee Benefit insurance industry.

Director, Data Architect

Key skills