5 manager data analytics jobs at 5 companies in Ahoskie, NC
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Sr. Manager Fraud Prevention
Herndon or Alexandria or Norfolk or Arlington or Washington or Hampton or Virginia or Chesapeake or Virginia Beach or Newport News or Portsmouth or Fairfax or Langley AFB or Chantilly or Crystal City or Falls Church or Manassas or McLean or Vienna or Ashland or Clintwood or Dahlgren or Dam Neck or Dumfries or Dunbar or Fort Belvoir or Fort Eustis or Fort Gregg-Adams or Fort Lee or Fort Myer or Fort Story or Fredericksburg or Gainesville or Glen Allen or Glen Jean or Harrisonburg or Kearneysville or Potomac Falls or Quantico or Reston or Richmond or Rosslyn or Shepherdstown or Springfield or Suffolk or West Virginia or Williamsburg or Yorktown
OnsiteFull Time
SercoLondon Stock Exchange: SRP: Provides professional outsourcing services to governments worldwide.
7+ YOE5+ MgmtU.S. citizenship, bachelor\u0002s degree, 7+ years in healthcare compliance/fraud investigations (5+ years leading teams), professional credentials (CFE/CIA/AHFI/CIFI), experience with compliance technology and data analytics, strong communication and stakeholder management.
Program Manager, Nursing Excellence and Outcomes – St. Francis Medical Center
Midlothian, Virginia, United States
OnsiteFull Time
Bon Secours Mercy Health: Operates hospitals and clinics providing medical and surgical care.
5+ YOERN license with 5 years related experience including 2 years in leadership; BSN and MSN required; knowledge of Magnet/Pathways to Excellence; project management and data analytics skills.
ANCC Adam and Adam Plus, Microsoft Office Suite, Zoom
Massimo Zanetti Beverage USA: Roasts and distributes branded and private label coffee products.
2+ YOEBachelor's in relevant field or 3-5 years related experience; 2+ years analytical and project experience; experience with Lean/Kaizen/Six Sigma, data analysis, project management, and Excel/PowerPoint/Power BI.
Organization of the Joint Chiefs of Staff: Strategic advisory and leadership body for the United States military.
1+ YOEOne year of GS-13-equivalent specialized experience leading AI/ML data solutions, analytics, software and data pipelines, data standards, modeling, and visualization in large-scale environments; qualifying engineering, physical science, mathematics, or computer science education is required.
Artificial Intelligence (AI), Machine Learning (ML), Risk Management Framework (RMF), DoD Information Technology Standards and Profile Registry (DISR)