IND Staff Engineer - GCC097 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. + **Key Responsibilities** **Offshore Team Leadership & People Management** + Lead, coach, and develop a team of offshore Data Engineers supporting enterprise Data and AI initiatives. + Serve as the primary people leader for offshore team members, including performance management, career development, goal setting, and succession planning. + Foster a culture of accountability, collaboration, continuous learning, and technical excellence. + Support recruitment, onboarding, workforce planning, and retention strategies for offshore talent. + Partner with onsite leaders to ensure team members receive appropriate mentorship, growth opportunities, and feedback. **Delivery Oversight & Resource Management** + Oversee delivery execution across a portfolio of data engineering, analytics, data product, and AI initiatives. + Manage resource allocation and capacity planning to ensure alignment with organizational priorities. + Monitor team utilization, delivery commitments, project risks, and operational support activities. + Establish processes for work intake, prioritization, escalation management, and delivery reporting. + Ensure offshore resources are effectively integrated within product-aligned and functional teams. **Stakeholder & Partner Management** + Act as the primary liaison between offshore teams and Data, Analytics, AI, and Technology leadership. + Build strong partnerships with Product Managers, Engineering Managers, Architects, and Business stakeholders. + Facilitate alignment of priorities, resource needs, skill development opportunities, and delivery expectations. + Provide regular updates to leadership regarding team performance, capacity, delivery progress, risks, and opportunities.



**Technical Leadership & Governance** + Provide technical oversight and guidance across data engineering initiatives involving Snowflake, AWS, Google Cloud Platform, data integration, analytics, and AI capabilities. + Promote engineering best practices, coding standards, testing practices, CI/CD adoption, and operational excellence. + Support architecture reviews and ensure solutions align with enterprise standards and strategic technology direction. + Drive continuous improvement initiatives focused on reliability, scalability, security, maintainability, and cost optimization. **AI & Data Modernization Enablement** + Support adoption of emerging AI technologies, including generative AI, prompt engineering, AI-enabled automation, and agentic workflows. + Partner with technical leaders to identify opportunities to improve engineering productivity, data quality, and business value through AI-enabled solutions. + Encourage continuous skill development in cloud technologies, data engineering disciplines, and AI platforms. + Ensure appropriate governance, controls, and validation processes for AI-enabled solutions. **Operational Excellence** + Establish and monitor key performance indicators related to delivery quality, productivity, platform stability, and team effectiveness. + Drive improvements in development lifecycle processes, operational support models, and incident management practices. + Ensure adherence to enterprise data governance, security, compliance, and risk management standards. + Identify opportunities to improve efficiency through automation, standardization, and process optimization.



**Qualifications** **Required** + Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related discipline. + 7+ years of experience in data engineering, cloud engineering, analytics engineering, or related technology disciplines. + 3+ years of leadership experience managing technical teams, preferably within a global delivery model. + Experience leading offshore, distributed, or matrixed teams supporting multiple business and technology stakeholders. + Strong understanding of Snowflake, SQL, ETL/ELT processes, and up-to-date cloud-based data architectures. + Experience with AWS technologies including S3, Lambda, Fargate, EC2, and related services. + Understanding of Google Cloud data technologies such as BigQuery, Cloud Functions, and Vertex AI. + Experience managing Agile delivery processes, resource planning, and project execution. + Strong communication, stakeholder management, and organizational leadership skills. **Preferred** + Experience supporting enterprise Data & AI organizations through a Global Capability Center (GCC) or offshore delivery model. + Experience managing teams supporting data products, analytics platforms, AI initiatives, and cloud modernization programs. + Knowledge of ThoughtSpot, Tableau, Informatica, and modern data integration platforms. + Experience implementing or supporting generative AI and intelligent automation solutions. + Familiarity with enterprise governance, data management, and operating model frameworks. **Success Measures** + Offshore team engagement, retention, and talent development. + Consistent delivery against commitments across multiple portfolio teams. + Effective resource utilization and capacity management. + Stakeholder satisfaction across supported Data and AI organizations. + Improvement in engineering quality, operational performance, and delivery predictability. + Growth in team capabilities supporting cloud, data, analytics, and AI initiatives.

📌 IND Staff Data Engineer (Hyderabad)
🏢 The Hartford
📍 Hyderabad