Project Manager

Greenway Health is hiring an Agile Project Manager (AI Native) to drive project, release, and roadmap delivery for product and development teams. The role manages commitments, capacity, risks, dependencies, stakeholder decisions, delivery data, and responsible use of AI-enabled tools.

Responsibilities:

• Plan and drive delivery of project, release, and roadmap outcomes for assigned product and development teams using Agile and traditional project management practices
• Own delivery outcomes for assigned teams; understand commitments, anticipate obstacles, identify trends before they become delivery problems, take early corrective action, and escalate when appropriate
• Manage scope, schedule, budget, resources, communications, dependencies, and delivery progress for assigned projects, products, teams, and releases
• Maintain accurate, current delivery information in Wrike, including release milestones and a RAID log updated at least weekly; ensure risks, assumptions, issues, and dependencies are visible, actively managed, and escalated as needed
• Keep Smartsheet project plans, trackers, and status reporting updated so they accurately reflect current milestones, progress, risks, and dependencies, and use them to drive follow-through on actions and owners
• Ensure Agility data is accurate and traceable, including correct release/project tagging, accurate capability and feature mapping, and alignment from roadmap and PRD capabilities through FDDs and execution artifacts
• Partner with product, engineering, and leadership to manage development team and roadmap capacity, including sprint capacity, release capacity, realistic commitments, sequencing, dependency impacts, and trade-off visibility
• Ground sprint planning in real capacity, including proper sizing, available team capacity, planned time away, support load, and realistic commitments; help protect committed sprint work from unnecessary mid-sprint priority churn
• Drive capability and feature commitments throughout the sprint and release lifecycle; anticipate and remove blockers, challenge unplanned scope changes, and intervene early on missed commitments, spillover risk, and delivery slippage
• Use Domo and other approved reporting regularly for assigned teams, including churn, say/do, quality, feature progress, spillover, and delivery health, to decide where to intervene; turn insights into specific actions with owners and dates rather than simply reporting status
• Actively mitigate risks and drive issues to resolution using standard project management practices; distinguish risks from issues, assign owners and due dates, document decisions and actions, and escalate early with clear options and a recommendation
• Drive stakeholder decisions and trade-offs through clear communication, expectation-setting, decision tracking, and feedback loops; escalate when stalled decisions put delivery at risk
• Support Agile ceremonies and team communications as appropriate, while remaining actively informed on team activity, blockers, commitments, and progress without unnecessarily duplicating Scrum Master responsibilities
• Manage vendor contracts and relationships for the assigned product area
• Ensure compliance with regulatory requirements and maintain documentation for audit readiness
• Follow established PMO and product delivery processes; educate teams and stakeholders on expected practices and collaborate on process improvements when a process is not achieving its intended outcome
• Support development and implementation of agentic AI-enabled PMO workflows, including requirements input, workflow design, validation, adoption support, and ongoing performance monitoring
• Use approved AI-enabled and agentic AI tools to anticipate risks, forecast capacity, monitor team health, and accelerate planning and delivery decisions; use AI to reduce time spent compiling status so more time goes to driving outcomes
• Review and validate AI-generated summaries, status reports, forecasts, risk assessments, and recommendations before use
• Ensure underlying data quality, traceability, and governance support reliable AI-enabled insights
• Protect sensitive information; do not expose confidential, customer, production, proprietary, credential, or restricted data through AI tools unless explicitly approved
• Escalate inaccurate, incomplete, biased, insecure, or unclear AI outputs
• Maintain human ownership of delivery decisions, commitments, escalations, and final deliverables
• Foster a culture of accountability, innovation, autonomy, transparency, continuous improvement, and learning within the team

Requirements:

• Bachelor's degree, preferably in Project Management, Software Development, IT, Cybersecurity, or a similar field; relevant experience may substitute for the degree requirement
• Experience using AI or analytics to forecast capacity, identify delivery risks, or monitor team health metrics
• Two (2)+ years of experience in a project management role and six (6)+ years of overall work experience
• Working knowledge of Agile/Scrum and the software development life cycle, preferably agile lifecycle management
• Proactive, action-oriented delivery mindset: anticipates problems, drives decisions, and follows through without waiting to be asked
• Project management capability across scope, schedule, resources, communications, risks, issues, and dependencies
• Understanding of capacity planning, roadmap planning, and release management
• Working proficiency with Wrike, Agility, Smartsheet, Domo, and Microsoft Office, as well as agile collaboration tools, reporting and analytics tools, and approved AI-enabled and agentic AI productivity tools
• Ability to maintain accurate, traceable planning and execution data, including release milestones, RAID logs, capabilities, features, dependencies, and delivery commitments
• Knowledge of team health and delivery metrics, including churn, say/do, quality, feature progress, spillover, capacity, and predictability indicators
• Excellent written and verbal communication skills at all levels of the organization
• Strong interpersonal, facilitation, critical thinking, and problem-solving skills
• Experience in a matrixed resource environment
• Responsible use of approved AI-enabled tools to improve productivity, quality, and clarity
• Ability to work on problems of moderate scope that are often varied and routine
• Ability to review situations or data across a variety of factors and determine appropriate action
• Ability to exercise judgment within defined procedures and practices
• Ability to apply learned techniques and contribute to analysis and investigation to solve problems
• Ability to work with little instruction on day-to-day work and general instructions on new assignments
• Ability to communicate risks, issues, options, and trade-offs clearly, with a recommended course of action
• Project management certification desirable
• Knowledge of healthcare IT is extremely helpful