IND Executive Director, Data - GCC131 We're 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 organization's 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, high-impact data products, and production-grade AI solutions. The role requires deep expertise in **modern data engineering, cloud-native architectures, real-time and streaming platforms, and AI-ready data pipelines** , combined with strong 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 business-aligned 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 modern data platforms, including data lakes, lake houses, warehouses, and real-time streaming ecosystems. + Drive adoption of cloud-native data architectures and engineering best practices across large and complex data environments. **Data Engineering & Pipelines** + Oversee end-to-end data ingestion, transformation, enrichment, and orchestration pipelines supporting analytics, data science, AI/ML, and GenAI use cases. + Lead implementation of AI-ready data pipelines, including:



+ Structured, semi-structured, and unstructured data processing + Metadata management, data quality, and observability + Scalable batch and streaming data processing + Ensure high standards for data reliability, availability, performance, and scalability. **AI, GenAI & Advanced Analytics Enablement** + Partner closely with Data Science and AI teams to enable Generative AI, RAG, and Agentic AI solutions through robust data foundations. + Support semantic modeling, embeddings, metadata strategies, and vectorized data access for AI and conversational analytics platforms. + Enable advanced analytics and real-time insights through optimized data access patterns and low-latency architectures. **Architecture, Governance & Security** + Enforce enterprise data architecture standards, design patterns, and technology guardrails. + Drive strong data governance, lineage, cataloging, security, and compliance, ensuring responsible and ethical use of data. + Collaborate with Security, Infrastructure, and Architecture teams to ensure secure, compliant, and resilient data platforms. **Stakeholder Partnership** + Act as a key partner to business, product, and technology leaders to translate business needs into scalable data and AI solutions. + Communicate complex technical concepts clearly, linking data and AI initiatives to measurable business outcomes. + Support roadmap planning, prioritization, and execution governance.



**People Leadership & Delivery Excellence** + Lead and mentor large, high-performing teams of data engineers, platform engineers, and technical leaders. + Foster a culture of engineering excellence, innovation, ownership, and continuous improvement. + Drive agile delivery practices, strong execution discipline, and predictable outcomes across multiple parallel initiatives. **Required Skills & Experience** + Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field. + 19 to 24 years of progressive experience in data engineering, data platforms, or large-scale data architecture. + Proven experience leading enterprise-scale data engineering teams and complex, cloud-native data platforms. + Deep expertise in: + Data lakes, lake houses, data warehouses, and streaming platforms + Real-time and batch data processing architectures + Data products, data domains, and analytics enablement models + Strong hands-on or architectural experience with: + SQL and NoSQL databases + Big data ecosystems (Spark, Kafka, equivalent) + Cloud platforms (AWS, Azure, or GCP) + Experience enabling data platforms for AI/ML and Generative AI use cases. + Strong understanding of data governance, security, quality, and compliance in enterprise environments. + Excellent leadership, communication, and stakeholder management skills. + Ability to operate effectively in quick-paced, agile, and matrixed enterprise environments. **Nice to Have** + Experience with Snowflake in large, enterprise-scale implementations. + Exposure to vector databases, semantic layers, or knowledge graphs. + Experience in regulated industries such as Insurance, Financial Services, or Healthcare. + Cloud or data platform certifications (AWS, Azure, GCP, Snowflake).

📌 IND Senior Leader, Data (Hyderabad)
🏢 The Hartford
📍 Hyderabad