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Vice President-DataEngineering Insurance Lead

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Job Description

Ready to build the future with AI

At Genpact, we don't just keep up with technologywe set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implementdata, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role Vice President Data Insurance Lead

The Offshore Data Engineering Lead is a senior leadership role responsible for building, scaling, and operating an offshore data engineering organization in India, with a strong focus on the Insurance domain. This individual will lead enterprise-scale delivery of modern data platforms and analytics solutions for global insurance clients, while driving operational excellence, talent development, and technology innovation.

The role requires deep expertise in modern data platforms such as Databricks, Snowflake, and AWS Redshift, combined with proven experience leading offshore teams of 100+ data engineering professionals in a consulting or global delivery environment.

Key Responsibilities

Leadership & Organization Management

  • Lead and manage an offshore data engineering organization of 100+ employees, including managers, architects, and senior engineers
  • Build a scalable offshore delivery model aligned with global insurance clients and consulting best practices
  • Develop and retain leadership talent across data engineering and insurance-focused solution teams
  • Foster a high-performance culture focused on delivery excellence, accountability, and continuous improvement

Delivery & Client Engagement

  • Own end-to-end delivery of large-scale data engineering and analytics programs for insurance clients (Life, P&C, Health, Reinsurance)
  • Partner with onshore leadership, sales, and account teams to support solutioning, estimations, and delivery commitments
  • Act as a senior escalation point for delivery risks, quality issues, and client concerns
  • Ensure consistent delivery governance, SLAs, and quality standards across all engagements

Data Platform & Technology Leadership

  • Provide architectural and technical leadership across modern data platforms, including:
  • Databricks (Lakehouse, Spark, Delta Lake)
  • Snowflake (cloud data warehousing, data sharing, performance optimization)
  • AWS Redshift (MPP architecture, integrations, cost optimization)
  • Guide teams on cloud-native data architectures, data lakes, data warehouses, and lakehouse patterns
  • Drive standardization of reusable data engineering frameworks, accelerators, and best practices
  • Stay current with emerging trends in data engineering, cloud platforms, and analytics technologies

Insurance Domain Expertise

  • Apply strong understanding of insurance data domains, including policy, claims, billing, underwriting, actuarial, and risk data
  • Lead data modernization initiatives for legacy insurance platforms and core systems
  • Partner with insurance business stakeholders to translate business requirements into scalable data solutions
  • Ensure data platforms support regulatory, compliance, and reporting requirements specific to the insurance industry

Operational Excellence

  • Establish and manage delivery and operational metrics, including utilization, productivity, quality, and margin performance
  • Drive continuous improvement through automation, DataOps, and DevOps practices
  • Oversee workforce planning, hiring, onboarding, and capacity management for data engineering teams
  • Ensure adherence to security, data privacy, and regulatory standards

Talent Development & Capability Building

  • Lead hiring, training, and upskilling initiatives for insurance-focused data engineering talent
  • Build Centers of Excellence (CoEs) for Databricks, Snowflake, and AWS data services
  • Mentor senior leaders and high-potential engineers
  • Promote certification and structured learning paths across cloud and data platforms

Required Qualifications

  • 10+ years of experience in Data Engineering, Data Platforms, or Analytics Engineering
  • Proven experience leading offshore teams of 100+ professionals in a consulting or global delivery model
  • Strong Insurance domain experience, supporting data initiatives for Life, P&C, Health, or Reinsurance clients
  • Deep hands-on and leadership experience with:
  • Databricks
  • Snowflake
  • AWS Redshift
  • Strong background in cloud-based data architectures, data lakes, data warehouses, and large-scale data pipelines
  • Experience delivering complex, multi-client data programs for global insurance enterprises

Preferred Qualifications

  • Experience working with Fortune 500 or Tier-1 global insurance companies
  • Exposure to additional cloud platforms (AWS, Azure, GCP)
  • Strong commercial acumen, including margin management and delivery optimization
  • Excellent executive communication skills with the ability to engage senior client stakeholders
  • Experience building offshore delivery factory or platform-based delivery models

Key Competencies

  • Executive leadership and people management
  • Insurance domain-driven solutioning
  • Strategic thinking with strong execution discipline
  • Client-focused delivery leadership
  • Deep technical credibility in modern data platforms

Why join Genpact

  • Lead AI-first transformation Build and scale AI solutions that redefine industries
  • Make an impact Drive change for global enterprises and solve business challenges that matter
  • Accelerate your careerGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
  • Grow with the best Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
  • Committed to ethical AI Work in an environment where governance, transparency, and security are at the core of everything we build
  • Thrive in a values-driven culture Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.

Let's build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit, paying to apply, or purchasing equipment or training.

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Job ID: 137849949