Director, Data Engineering
Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or 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 agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
Job Description -
- Own delivery strategy and execution for data engineering programs across one or more accounts.
- Define account-level data engineering roadmaps supporting analytics, AI, and platform modernization objectives.
- Govern solution quality, engineering standards, delivery metrics, and operational excellence.
- Drive productivity, utilization, margin improvement, automation adoption, and cost optimization initiatives.
- Lead staffing, workforce planning, capability development, and succession planning.
- Manage stakeholder expectations, escalations, risks, and executive governance forums.
- Oversee modernization delivery across cloud, lakehouse, streaming, and enterprise data platforms.
- Track measurable delivery outcomes through KPIs, SLAs, quality metrics, and business impact.
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Qualifications -
Bachelors - Business Analytics, Bachelors - Computer Science, Masters - Data Science
- Certifications -
- Microsoft Certified: Azure Administrator (AZ-104) - Microsoft
- Required Skills -
- Automation Technology, Capacity Planning, Cloud Platform, Cost Management, Data Engineering, Data ETL, Data Quality, Delivery Management, DevOps Coaching, Legacy Modernization, Risk Management, Service Level Agreement (SLA), Stakeholder Management
- Language Proficiency -
- English (OVERALL - Advanced - C1)
Additional Job Location -
- Master Skill List -
- Data Engineering