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

  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.

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