IND Staff Data Engineer

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 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.