Sentara Facility: Sentara Park 1330
Physical Location: Virginia Beach, VA
Location Type: Remote
Employment Status: Regular-Full time
Shift: First (Days)
Posted Date: July 21, 2025
Overview
The Manager, Analytics Services plays a key leadership role in guiding the development and execution of data analytics strategies that support clinical, operational, and research objectives. This position partners with senior leadership to define informatics requirements and oversees a team of analysts to deliver actionable insights through advanced data modeling and reporting.
The manager leverages a deep understanding of healthcare data systems, project management, and research methodology to drive innovation, improve outcomes, and ensure regulatory compliance. This role also includes mentoring analytical staff, managing vendor relationships, and contributing to research efforts and publications.
Key Responsibilities:
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Collaborate with leaders to define and prioritize analytic needs aligned with organizational goals.
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Design and implement analytics solutions that support quality initiatives, operational efficiencies, and regulatory reporting.
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Manage, mentor, and develop a team of analysts to ensure timely and high-quality deliverables.
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Oversee data projects, timelines, and stakeholder communications.
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Ensure data integrity and compliance with Human Subjects Research and IRB requirements.
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Translate complex data into meaningful insights through presentations, dashboards, and research publications.
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Manage vendor contracts and relationships, including negotiations and performance oversight.
Education
- Bachelor's degree required
Certification/Licensure
- No specific certification or licensure requirements
Experience
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Required Qualifications:
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5+ Years of Clinical/ Business sectors experience required
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5+ years of Healthcare experience required.
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Project management experience in a healthcare or data-driven environment.
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Strong background in quantitative research design and statistical methods.
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Proficiency in SQL; experience with R and/or Python preferred.
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Familiarity with EHR systems and healthcare data (e.g., Epic).
Preferred Qualifications:
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Experience with large healthcare data platforms such as TriNetX, Truveta, and/or Epic Cosmos.
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Knowledge of the OMOP Common Data Model and healthcare data standards.
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Understanding of qualitative and quantitative study design, biostatistics, and IRB processes.
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Experience pulling data from EHR systems and working with charge master or reconciliation workflows.
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History of contributing to peer-reviewed journal publications.
We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is:$106,080.00-$176,820.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.