Remote Lead Program Manager, AI Health IT

GovCIO

City of Albany (NY)

Remote

USD 170,000 - 190,000

Full time

2 days ago

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Benefits offered by this job

EAP

Corporate Discounts

Learning & Development platform

Training, Education and Certification

Referral Bonus Program

Internal Mobility Program

Pet Insurance

Flexible Work Environment

Job summary

GovCIO is seeking a Program Manager to coordinate delivery of modernization, clinical informatics, and AI-enabled health IT projects for federal healthcare customers. You will partner with technical leads, clinicians, BAs, QA, and stakeholders to translate priorities into achievable delivery plans and manage day‑to‑day execution in a fully remote setting.

This role emphasizes Agile and SAFe practices, risk and release management, and seamless integration of AI-enabled solutions into clinical

Qualifications

Bachelor’s degree in information technology, computer science, informatics, or related field.
8–12 years of experience; 5+ years in technical project management or software delivery leadership.
Experience coordinating multiple software development teams or complex technical projects.
Knowledge of SDLC, Agile delivery, integrations, testing, and release management.
Ability to communicate with technical teams and nontechnical stakeholders.
Experience using Jira or Azure DevOps.

Responsibilities

Coordinate project schedules, milestones, risks, dependencies, and delivery commitments.
Lead work across development, testing, platform, and production support teams.
Prepare requirements and maintain delivery-ready backlogs with Product Owners and BAs.
Facilitate Agile ceremonies, cross-team planning, and release readiness reviews.
Identify impediments, evaluate delivery options, and resolve issues with tech leads.
Communicate status, risks, and decisions to customer and leadership.
Track delivery performance and support continuous improvement.
Coordinate production issue resolution and follow-up work in project plans.
Coordinate integration, testing, release readiness, and deployment of AI-enabled clinical apps.