Full Job Description
Delivery Manager, Data Engineering
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.
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
English
Language Proficiency -
English (OVERALL - Advanced - C1)
Additional Job Location -
Job Type
Regular
Master Skill List -
Data Engineering
Remote Type -
Office
Work Shift -
Day Job (United States of America)
The approximate annual base compensation range for this position is:
80,000 to 100,000 USD
"Los Angeles California-based candidates are not eligible for this role"
The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity.
