Technical Project Manager

CloudAI Technologies; Washington (District of Columbia); Hybrid; USD 110,000 - 170,000; Full time

Job summary

CloudAI Technologies in Washington, DC is seeking a seasoned Technical Project Manager to lead end-to-end delivery of cloud, AI, and data initiatives in a hybrid work setting. You will align cross-functional teams, manage scope, schedule, and budget, and serve as the primary client liaison translating business outcomes into technical requirements.

You will apply Agile/Scrum and traditional methodologies, guide engineering/data deliverables, and drive delivery using Jira, Confluence, MS Project,

Qualifications

• 5+ years in technical project management (data, cloud, or software).
• Strong command of Agile/Scrum and traditional methodologies.
• Experience managing engineering/data deliverables.
• Proficiency with Jira, Confluence, MS Project, or similar.
• PMP, CSM, or equivalent a plus.

Responsibilities

• Own end-to-end delivery of cloud, AI, and data engagements across multiple projects.
• Serve as primary client point of contact, translating business outcomes into technical requirements.
• Apply knowledge of cloud, AI, and data platforms to guide technical decisions.
• Navigate scope, priorities, and change with clients as requirements shift.
• Run delivery using Agile and product methodologies with sprint planning and backlog management.
• Coordinate internal teams, aligning architects and engineers on delivery approach.

Skills

Technical Project Management

Agile/Scrum

Stakeholder Management

Jira/Confluence/MS Project

PMP/CSM (plus)

Tools

Jira

Confluence

MS Project

Job description

Washington, DC (Hybrid)

Reports to PMO Lead

Full-Time

Drive the delivery of complex data and AI initiatives, keeping cross-functional teams aligned, on schedule, and on budget.

Responsibilities

• Own end-to-end delivery of cloud, AI, and data engagements — managing scope, schedule, budget, risk, and quality across multiple concurrent projects.
• Serve as primary client point of contact, translating business outcomes into cloud/AI/data requirements engineering can execute against.
• Apply working knowledge of cloud, AI, and data platforms to engage customers on technical decisions, not just relay them.
• Navigate scope, priorities, and change with clients as requirements shift mid-engagement.
• Run delivery using Agile and product methodologies — sprint planning, backlog management, iterative releases — not just waterfall phase-gates.
• Coordinate the internal project team, aligning architects and engineers on delivery approach and keeping cross-functional work on track.

Qualifications

• 5+ years in technical project management (data, cloud, or software).
• Strong command of Agile/Scrum and traditional methodologies.
• Experience managing engineering/data deliverables.
• Proficiency with Jira, Confluence, MS Project, or similar.
• PMP, CSM, or equivalent a plus.