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Working Technical Project Manager

Hybrid
InnodataWashington D.C.6 days agoWebsite
Active
ISL - (Project Delivery) - 101

Compensation

Salary undisclosed
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Description

ABOUT THIS ROLE

 

KEY RESPONSIBILITIES

  • Own day-to-day WBS execution and schedule maintenance against the 24-week program schedule
  • Draft weekly status reports for Delivery Owner review before AFS submission
  • Manage AFS working-level coordination: technical POCs, dependency tracking, acceptance criteria follow-up
  • Maintain risk and issue log; escalate decisions and blockers to the Delivery Owner
  • Package and submit phase-milestone deliverables with explicit acceptance requests and deadline tracking
  • Administer CVAT + SAM 2 toolchain in coordination with the Data & Annotation Engineer
  • Facilitate standups, working sessions, and phase gate preparation
  • Coordinate Technical Writer onboarding and documentation production in Phase E

MUST-HAVE QUALIFICATIONS

  • Bachelor's degree in a technical, business, or related field required; equivalent experience may substitute for degree on a 2-for-1 basis. PMP certification strongly preferred.
  • 7+ years total professional experience, 4+ years in federal program or technical project management
  • Hands-on experience with annotation platforms — CVAT strongly preferred
  • Comfortable authoring technical documentation: run books, user guides, status reports
  • Controlled Unclassified Information (CUI) handling and federal data security awareness
  • Strong working-level stakeholder communication in federal environments
  • Active Secret clearance with TS/SCI eligibility

NICE-TO-HAVE QUALIFICATIONS

  • Prior DoD AI/ML data program experience (annotation, dataset engineering, data governance)
  • Familiarity with DataCard or data provenance governance concepts
  • Prior OTA or FFP subcontract management experience
  • Experience with milestone-based invoicing and acceptance management

The expected hourly salary range for this position is $50 to $55 p/hour, based on experience, skills, and qualifications.

NOTE TO CANDIDATES

This role operates under direct oversight of the Delivery Owner. Ideal candidates are strong executors who can run a tight program cadence with minimal overhead.

Stack

Machine Learning
Posted
Jul 9, 2026
Last seen
Jul 9, 2026
First seen
Jul 9, 2026

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