Loading...
Entry LevelFull-timeRust
Salary Range
$25,500 - $34,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Technical Project Manager for Data & Analytics Engineering to support NBCU's SAP-based analytics ecosystem. This role focuses on coordinating data-driven initiatives and ensuring high-quality data products for business stakeholders.
Key Responsibilities
- →Support project planning and execution for data engineering, analytics, and planning initiatives across SAP BW/4HANA, SAC, and BPC
- →Assist in managing project timelines, sprint activities, deliverables, and cross-team dependencies
- →Prepare documentation such as data flow diagrams, requirements, user stories, and technical notes
- →Coordinate testing cycles for data models, reports, integrations, and planning applications
- →Triage data pipeline issues, log defects, and coordinate fixes with engineering teams
- →Communicate and track maintenance activities such as system upgrades, data model updates, and performance tuning validations
- →Liaise between data and analytics product teams and engineering teams
- →Perform fit-gap analysis for data and analytics solutions
- →Track the maintenance of documentation for data models, data lineage, integration points, and operational runbooks
- →Support data governance activities including access management
- →Build strong working relationships with Finance, Product, Engineering Operations, and Data & Analytics teams
- →Provide clear communication on project status, risks, and issue tracking
- →Manage D&A team financial tracking and updates
Requirements
- ✓Early career experience in data and analytics project management
- ✓Understanding of SAP BW/4HANA, SAP Analytics Cloud, and SAP BPC
- ✓Basic knowledge of data engineering and analytics principles
- ✓Strong organizational and communication skills
- ✓Ability to coordinate cross-functional teams and manage dependencies
- ✓Experience with documentation and process improvement
- ✓Foundational skills in data validation and testing
- ✓Basic understanding of data governance principles
