What are the responsibilities and job description for the Senior Data Engineering Project Manager position at MethodHub?
Title: Principal Project Manager (Data Engineering)
Location: Richmond, Virginia
Duration: Fulltime with client
Client: Direct
Role Summary
The Technical Project Manager leads the delivery of large-scale data and analytics initiatives, coordinating cross-functional teams across engineering, architecture, analytics, and business stakeholders. This role ensures projects are delivered on time, within scope, and aligned to enterprise data and AI strategies.
Key Responsibilities
• Plan and manage end-to-end delivery of data platform, analytics, and AI initiatives
• Coordinate work across data engineers, architects, analysts, and external vendors
• Develop and manage project plans, milestones, dependencies, and budgets
• Translate technical concepts into clear updates for executive and business stakeholders
• Manage risks, issue, and change requests proactively
• Ensure adherence to enterprise data architecture, governance, and security standards
• Support Agile and hybrid delivery models (Scrum, SAFe,)
• Identify and Implement Automation
Technology & Platforms
• Enterprise Data Platforms - Azure
• Data engineering and analytics ecosystems - Databricks
• Project & Agile tools (Azure DevOps, SNOW)
• BI & Analytics platforms (Power BI, Tableau)
Qualifications
• Bachelor’s degree in Information Systems, Engineering, or related field
• 8–12 years of IT project management experience
• Strong background delivering data, analytics, or cloud modernization programs
• PMP, SAFe, or Agile certifications preferred
• Excellent communication, leadership, and stakeholder management skills