Data Engineering Delivery Lead – AI Solutions

3409 Genpact LLC; New York (NY); Presencial; USD 80.000 - 100.000; Jornada completa

Descripción de la vacante

Genpact Ltd. is seeking a Delivery Manager for Data Engineering in the United States. Lead planning and execution of data projects, align schedules, KPIs, budgets, and delivery commitments while coordinating resources across teams.

You will govern sprint planning, release readiness, client communications, and risk management, ensuring quality, compliance, and smooth transitions. This role requires strong data engineering and program management skills in a fast-moving AI environment.

Formación

• Bachelor's degree in Computer Science, Data Science, Statistics, or related field.
• Master's in Data Science preferred.
• ITIL Foundation and PMP certifications are assets.

Responsabilidades

• Own planning and execution of data engineering projects and delivery workstreams.
• Monitor delivery KPIs, SLAs, quality metrics, budget and utilization targets.
• Coordinate resources, staffing plans, and capacity requirements.
• Govern sprint planning, release management, and deployment readiness activity.
• Manage client communications, stakeholder reviews, and escalation resolution.
• Drive delivery quality assurance, compliance and operational excellence.
• Ensure transition readiness, documentation, and runbook preparation.

Conocimientos

Agile Methodology

AWS Glue

Azure Data Factory

JIRA Tool

Power BI

Program Management

Data Governance

Incident Management

SLA

English Proficiency

Educación

Bachelor's - Computer Science

Bachelor's - Data Science

Bachelor's - Statistics

Masters - Data Science

ITIL Foundation

PMP

Herramientas

JIRA

Azure Data Factory

Power BI

ServiceNow

AWS Glue

Descripción del empleo

Genpact Ltd. is seeking a Delivery Manager for Data Engineering in the United States. Lead planning and execution of data projects, align schedules, KPIs, budgets, and delivery commitments while coordinating resources across teams.

You will govern sprint planning, release readiness, client communications, and risk management, ensuring quality, compliance, and smooth transitions. This role requires strong data engineering and program management skills in a fast-moving AI environment.