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.
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