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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