Genzeon, an AI and automation company with deep engineering and data expertise, dedicated to serving the healthcare and retail industries. Our platform solutions – including HIP One, CompliancePro Solutions, and Patient Engagement Solutions – empower organizations to scale innovation and transform outcomes.
Genzeon is a global community of innovators and problem-solvers, with a culture built on inclusion, flexibility, and purpose-driven work. With four global delivery centers, we support providers, payers, Healthtech, and retail organizations worldwide.
Genzeon has an exciting opening for AI-First Project Manager — Healthcare Technology (Jira required; Copilot / ChatGPT embedded) to join our dynamic team.
Job Title: AI-First Project Manager — Healthcare Technology (Jira required; Copilot / ChatGPT embedded)
Job Type: Contract
Summary
We’re hiring a hands-on project manager who treats AI as the default way of working. This is a delivery-first role for a motivated, growth-minded PM with healthcare technology experience who will use our enterprise Copilot / ChatGPT and JIRA every day to build plans, manage risks, run meetings, and drive outcomes. This person is not being hired to build or train models — they will operationalize and relentlessly apply AI tooling to make project management faster, more predictable, and less manual
What you’ll own
- Own end-to-end project delivery for healthcare technology initiatives using JIRA as the source of truth
- Produce and maintain project plans, schedules, milestones, and RAID logs with AI-enabled automation and validation built into the cadence
- Drive daily progress tracking, remove blockers, and escalate when required to protect milestone delivery
- Lead stakeholder communications, executive reporting, and decision forums using AI to synthesize status and recommend next steps
- Run efficient meetings where AI extracts action items, owners, and follow-ups and feeds them back into JIRA and calendars
- Use AI to continuously surface risks and dependencies, quantify impact, and propose mitigations for rapid decision-making
- Implement JIRA workflows, dashboards, and automations that align with an AI-first delivery model and scale across teams
Required qualifications
- Demonstrated, hands-on use of LLM-based assistants (enterprise Copilot, ChatGPT, or equivalent) to create project plans, meeting minutes, status reports, and action-item automation
- 3+ years of software project management experience in healthcare technology or adjacent healthcare data domains, with strong domain familiarity including privacy and regulatory considerations such as HIPAA
- Advanced, practical experience using JIRA for planning, tracking, reporting, workflow design, and automation rules as the system of record
- Proven experience running Agile team cadences (Scrum or Kanban), facilitating cross-functional teams, and driving delivery across product, engineering, and ops
- Strong stakeholder management and communication skills - able to translate AI-driven signals into clear, actionable executive summaries
- Comfortable with data and analytics - able to read forecasts, validate predictions, and apply them to risk decisions
- Hunger to experiment - a growth mindset that seeks to push the boundaries of how AI can remove manual work and drive predictability
Preferred / nice-to-haves
- Prior PM experience on projects that shipped AI-enabled features or used ML-driven forecasting or automation
- Experience with enterprise Copilot integrations, ChatGPT/LLM plugins for JIRA, or other PM-focused AI tooling
- Familiarity with healthcare data standards such as FHIR, claims formats, or EHR integrations
- Certifications such as Certified ScrumMaster, PMP, or equivalent Agile credentials
- Hands-on scripting or low-code experience (Python, JavaScript, Power Automate) to create small automations or to partner effectively with engineers
What “AI-first” looks like in this role - concrete examples
- Project plans drafted by the PM with AI generating baseline schedules, dependency maps, and suggested owners for review and refinement
- Meeting notes and action items auto-extracted and pushed to JIRA tickets with owners and due dates assigned by the PM using Copilot prompts
- Automated status reports where AI synthesizes JIRA board data and sprint outcomes into a one-page executive summary with suggested mitigations for risks
- AI-nudges that surface potentially stale work, likely blockers, and dev/test bottlenecks before they impact delivery
- Use of AI to standardize RAID entries, auto-classify risk severity, and propose mitigations that the PM then vets and owns
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