IND Staff Data Engineer

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 • 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 modern 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. 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