EIT Project Manager
Support the Enterprise Project Management Office (ePMO) by completing assigned work deliverables while maintaining quality standards and meeting established timelines.
Key Responsibilities-
Complete assigned tasks and project deliverables within defined timelines.
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Assist with tracking proposal and project activities, including information gathering and preparation of project documentation.
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Maintain project documentation and update ePMO tools and systems.
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Coordinate meeting logistics, prepare agendas, capture meeting minutes, and manage follow-up actions.
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Collaborate with project managers and stakeholders to identify improvement opportunities and potential solutions.
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Support project monitoring by identifying risks and assisting in developing mitigation strategies.
The Project Manager should demonstrate the following qualities:
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Self-driven and proactive
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Highly organized with strong attention to detail
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Confident and professional in communication
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Quality-focused in deliverables
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Ability to interpret written instructions, standards, and guidelines and apply them effectively
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Comfortable asking questions and seeking guidance when needed
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Ability to influence and lead without direct authority
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Bachelor s Degree or equivalent professional experience required.
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Equivalent experience is defined as 4 years of professional work experience in Healthcare and/or Information Technology (IT).
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Experience with State or Federal Medicare/Medicaid projects is a plus.
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Strong verbal and written communication skills that are clear, concise, and accurate.
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Experience working with senior leadership, including Directors and Vice Presidents.
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Intermediate to advanced Microsoft Excel skills.
Project Management Experience:
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5 10+ years managing complex projects with:
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Multiple workstreams (up to 20)
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High-visibility or demanding stakeholders
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3 5+ years managing:
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Software implementation projects
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Healthcare-related projects
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Vendor-managed projects
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Project budgets (labor and non-labor)
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Experience supporting or delivering AI-enabled or digital products such as:
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Virtual assistants
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Chatbots
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Automation solutions
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Understanding of:
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AI concepts and data dependencies
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Model lifecycle considerations
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Cross-functional collaboration in AI/digital product environments
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