IT Project Manager

Req ID: 394744 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a IT Project Manager - .Net Implementation to join our team in Rockville, Maryland (US-MD), United States (US).

Job Summary: 

NTT DATA is seeking a highly motivated, flexible, and detail-oriented Technical Project Manager with strong Technical and Business Analyst skills to join our dynamic team. This role supports mission-critical work that impacts medical, health, and scientific communities—your contributions will truly make a difference. We are also looking for someone who embraces modern AI tools such as Claude, ChatGPT, Copilot, and automation platforms to improve documentation, analysis, communication, productivity, and project delivery. 

Job Duties: 

• Collaborate with federal managers and customers to define project scope, timelines, and roadmaps, incorporating AI opportunities that support mission outcomes.
• Lead teams through the full EPLC lifecycle, using AI to enhance requirements gathering, documentation quality, and compliance tracking.
• Serve as a trusted advisor to government stakeholders by identifying AI‑enabled solutions to improve delivery efficiency, reporting, and decision‑making.
• Develop program governance processes that integrate automation and AI tools to meet federal oversight, security, and documentation standards.
• Provide single‑point accountability for contractual deliverables, using AI to streamline communication, status updates, and artifact management.
• Monitor and manage risks, issues, and dependencies, leveraging AI‑based analysis to detect trends and improve response times.
• Facilitate Agile ceremonies and support iterative delivery using AI for backlog refinement, user story drafting, and sprint planning insights.
• Prepare detailed weekly and monthly status reports using AI to accelerate data compilation, narrative creation, and metric visualization.
• Lead technical planning sessions supporting cloud modernization, zero‑trust alignment, and integration of AI‑supported operational enhancements.
• Maintain required project artifacts—schedules, risk registers, compliance documentation—supported by AI automation for version control and consistency.
• Conduct root cause analyses and lessons‑learned sessions using AI to identify patterns across workstreams and improve future practices.
• Coordinate with cross‑functional teams (Development, QA, Hosting, Analytics, Security) to introduce AI‑based efficiencies across testing, operations, and data workflows.