The Project Manager leads the planning, coordination, and delivery of medium to large software, system, and process initiatives across the organization. The role sets milestones, aligns operations and technology teams, and brings structure to complex, multi-stakeholder work so that initiatives are delivered on time, within budget, and to the standards MedRisk expects. Working in a modern delivery environment, the Project Manager applies hybrid and Agile practices as appropriate, uses AI-enabled tools to improve planning, reporting, and collaboration while maintaining human accountability for every decision, and ensures that data privacy, security, and regulatory requirements are built into project plans from the start. This position partners with internal and external stakeholders, exercises sound judgment in prioritization and escalation, and maintains discretion and confidentiality in all duties and responsibilities.
Primary Duties & Responsibilities
Portfolio Intake & Prioritization
- Manage the queue of medium to large projects, applying defined prioritization criteria such as business value, risk, strategic alignment, and capacity.
- Facilitate intake sessions with internal and external clients to clarify requests, define scope, and agree on deliverables and priorities.
Requirements & Planning
- Document business requirements in sufficient detail for end business users to confidently sign off before development begins.
- Translate business and data requirements into functional specifications and clear acceptance criteria for development and QA teams, including user stories where Agile delivery is used.
- Establish milestones, schedules, and resource plans, selecting a delivery approach (Agile or hybrid) that fits the initiative.
Delivery Execution & Reporting
- Track project progress in Jira or other project tracking tools and communicate status frequently and clearly to all stakeholders through dashboards and written reports.
- Use AI-enabled productivity tools to draft meeting summaries, status updates, and action items, and review all AI-generated content for accuracy before distribution.
- Delegate project tasks to team members based on individual strengths, skill sets, growth goals, and experience levels.
Risk, Issue & Dependency Management
- Maintain RAID logs (risks, assumptions, issues, and dependencies) and proactively drive timely resolution with owners.
- Escalate significant risks, issues, and resource conflicts to management in a timely manner to avoid delays.
Change Management & Adoption
- Plan and support change management activities, including stakeholder communication, training, and adoption planning, so that new systems and processes are successfully embraced.
Governance, Security & Responsible Technology Use
- Ensure data privacy, information security, and regulatory requirements are identified and addressed in project plans and deliverables.
- Follow MedRisk policies for the responsible use of AI tools, including the protection of confidential and sensitive information and appropriate human review of AI-assisted work.
- Identify opportunities where AI or automation can improve delivery efficiency, and coordinate with IT before adopting new tools.
Measurement & Continuous Improvement
- Track delivery outcomes such as schedule performance, budget adherence, quality, and benefits realization, and use the results to improve planning.
- Capture lessons learned and contribute to PMO standards, templates, and practices.
Professional Development
- Maintain current knowledge of project management practices, delivery methodologies, and emerging AI and automation tools by participating in training, reading professional publications, and engaging with professional networks.
Other
- Adhere to MedRisk's standard practices and policies to ensure the integrity and quality of deliverables.
- Perform other duties as assigned.
Qualifications
Required:
- Bachelor's degree in Business, Information Systems, or a related field, or equivalent experience.
- Minimum 3+ years of project management experience delivering software, system, or process initiatives in a cross-functional environment.
- Proficiency with project tracking and collaboration tools (e.g., Jira, Confluence, Smartsheet or MS Project) and the Microsoft 365 suite (Excel, PowerPoint, Word, Outlook, Teams, Visio).
- Working knowledge of AI productivity tools (e.g., Microsoft 365 Copilot, Claude), with sound judgment about their appropriate use, data handling, and limitations.
- Excellent oral and written communication skills, including the ability to tailor messages for technical and non-technical audiences.
- Advanced time management and analytical skills.
- Strong attention to detail and ability to meet deadlines.
- Personable, with demonstrated ability to build trust and motivate colleagues to work together efficiently.
Preferred:
- PMP, PMI-ACP, Certified ScrumMaster, or equivalent project management certification.
- Experience leading Agile, Waterfall, or hybrid delivery, including scaled Agile frameworks.
- Experience leading projects that involve AI, automation, or data platform implementations.
- Familiarity with healthcare, risk, or other regulated data environments and associated privacy requirements.
- Familiarity with software development lifecycle (SDLC) and DevOps practices.
- Strong interpersonal skills, including stakeholder management and conflict resolution.