Delivery Manager, 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 planning and execution of data engineering projects and delivery workstreams.
- Manage schedules, RAID logs, milestones, dependencies, and delivery commitments.
- Monitor delivery KPIs, SLAs, quality metrics, budget, margin, and utilization targets.
- Coordinate resources, staffing plans, and delivery capacity requirements.
- Govern sprint planning, release management, and deployment readiness activities.
- Manage client communications, stakeholder reviews, and escalation resolution.
- Drive delivery quality assurance, compliance, and operational excellence.
- Ensure transition readiness, documentation completeness, and runbook preparation.
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Qualifications
Bachelors - Computer Science, Bachelors - Data Science, Bachelors - Statistics, Masters - Data Science
- Certifications
- ITIL Foundation - Axelos, Project Management Professional (PMP) - Virtual Learning Academy (VLA)
Required Skills Agile Methodology, AWS Glue, Azure Data Factory, Client Relations, Cost Management, Data Governance, Incident Management, JIRA Tool, Microsoft Power Business Intelligence (PBI), Program Management, Quality Assurance (QA), Reporting, Resource Management, Risk Management, Service Level Agreement (SLA), ServiceNow Platform, Stakeholder Management, Transition Management
- Language Proficiency -
- English (OVERALL - Proficient - C2)
Additional Job Location -
- Master Skill List -
- Data Engineering