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Project Manager, Data Analytics

Project Manager, Data Analytics

Palm Beach Accountable Care OrganizationWest Palm Beach, FL, US
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Job Description

Job Description

Project Manager – Healthcare Data Analytics

Palm Beach Accountable Care Organization (PBACO) – West Palm Beach, FL

Full-Time | Exempt | Onsite Opportunity

About PBACO

Palm Beach Accountable Care Organization is a leader in value-based healthcare, partnering with physicians, hospitals, and payers to improve quality of care, reduce costs, and enhance patient outcomes. Our Data Analytics team delivers actionable insights that drive better clinical, operational, and financial performance.

We are hiring a Project Manager – Healthcare Data Analytics to lead analytics platform governance, healthcare data validation, training, and adoption. This role is ideal for someone who thrives in healthcare technology, data governance, and cross-functional project management.

Position Overview

The Project Manager – Data Analytics will be the primary owner of PBACO’s healthcare analytics platforms, ensuring data accuracy, reporting reliability, and user adoption. You’ll bridge the gap between data engineers, analysts, clinical teams, and business stakeholders—driving projects from intake to delivery.

Key Responsibilities

Healthcare Analytics Platform Management

  • Oversee day-to-day operations of internal and external healthcare analytics tools (Power BI, Tableau, custom dashboards, payer portals).
  • Manage platform governance : access roles, naming conventions, version control, release notes, and documentation standards.
  • Serve as the primary liaison between internal stakeholders, external partners, and vendors for all analytics tools.

Data Governance & Quality Assurance

  • Implement data validation processes to ensure accuracy in reports, dashboards, and healthcare quality metrics.
  • Cross-check data from EMR systems, payer claims, and utilization files for completeness.
  • Track, document, and resolve data defects with root-cause analysis and prevention steps.

    • Training & Adoption

  • Create training materials, user guides, job aids, and video walkthroughs for healthcare providers and staff.
  • Conduct live and virtual training sessions to drive adoption of analytics platforms and reporting tools.
  • Promote best practices for data-driven decision-making in healthcare settings.

    • Project & Product Management

  • Manage intake of analytics requests; translate into clear requirements, user stories, and project timelines.
  • Coordinate dependencies with analysts, engineers, and department leads.
  • Maintain meeting readiness with agendas, pre-reads, and documented action items.

    • Documentation & Knowledge Base

  • Maintain and update data dictionaries, metric definitions, SOPs, and healthcare analytics knowledge bases.
  • Ensure documentation is searchable, accurate, and updated within 3 business days of changes.

    • Stakeholder Service & Escalations

  • Act as the primary escalation point for platform and reporting issues.
  • Track stakeholder satisfaction and incorporate feedback into improvements.

    • Compliance & Privacy

  • Maintain strict HIPAA compliance and confidentiality across all analytics workflows.

    • Qualifications

    Required

  • Bachelor’s degree in Data Analytics, Health Informatics, Information Systems, Business, or related field.
  • 4+ years of experience in healthcare analytics, data operations, or healthcare project management.
  • Proven experience in platform stewardship and cross-functional collaboration.

    • Preferred

  • Master’s degree in Healthcare Administration, Computer / Data Science, Public Health, or Business.
  • Supervisory or mentoring experience.
  • Product management background.

    • Technical Skills

  • Proficiency in Power BI, Tableau, or similar data visualization tools.
  • SQL familiarity.
  • Strong Excel, Word, PowerPoint skills.
  • Experience with Jira, Azure DevOps, or similar project tracking tools.

    • Soft Skills

  • Exceptional organizational skills and attention to detail.
  • Strong communicator with both technical and non-technical audiences.
  • Proactive problem-solver with a collaborative mindset.

    • #LI-CS1

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