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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
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
- Enterprise Data Platforms - Azure
- Data engineering and analytics ecosystems - Databricks
- Project & Agile tools (Azure DevOps, SNOW)
- BI & Analytics platforms (Power BI, Tableau)
- 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