OEPI Manager, Full Time, First Shift

The OEPI Manager leads cross-functional Lean Six Sigma initiatives, mentors the OEPI team, and partners with leaders, physicians, and frontline staff to optimize workflows and enhance performance. This includes applying operations research, human factors engineering, facility layout planning, and advanced analytics to redesign processes, improve labor efficiency, strengthen patient flow, and create more reliable and efficient operations.

The role also plays an important part in strategic planning and long-range system development. The OEPI Manager uses systems thinking to understand how decisions in one area affect the entire organization and works to create alignment and synergy across our hospitals, the nursing home, and all support services. This perspective ensures that improvements benefit not just individual departments but the performance of the entire system.

Financial decision support is another key responsibility. The OEPI Manager contributes to the development of financial pro formas, capital analyses, and ROI models and provides operational insight for PEC submissions, business cases, service line planning, and organizational growth initiatives. This requires advanced skills in Excel modeling, Epic reporting, Power BI dashboard creation, and statistical analysis to support accurate forecasting and scenario planning.

Above all, the OEPI Manager builds capability across the organization by teaching, coaching, and embedding Lean thinking, operational discipline, and continuous improvement practices into everyday work. This leader helps shape a culture that values problem solving, accountability, and measurable results, ensuring that self Regional Healthcare continuously improves as a unified system.

Special Qualifications

• Education || Certifications
  o Bachelor’s degree required in Industrial Engineering, Health Systems
  Engineering, Operations Research, or a related field.
  o Master’s degree preferred in Industrial Engineering, Healthcare Administration,
  Business, or a related discipline.
  o Lean Six Sigma certification required (Green Belt minimum; Black Belt strongly
  preferred).
  o Additional certifications such as Certified Quality Engineer (CQE), Project
  Management Professional (PMP), or Lean certification are highly desirable.
  o Epic certification or Epic proficiency is preferred; experience with Epic reporting
  and analytics strongly encouraged.
  Experience
  o Minimum of five years of experience in healthcare operations, performance
  improvement, process engineering, or a similarly demanding operational field
  such as manufacturing, logistics, consulting, or engineering.
  o Minimum of three years of leadership experience, which may include managing
  teams, leading cross-functional project groups, supervising analysts or engineers,
  or directing improvement initiatives.
  o Demonstrated success leading hands-on performance improvement projects using
  Lean and Six Sigma tools.
  o Experience applying operations research techniques, human factors principles,
  workflow design, capacity modeling, queuing theory, and productivity analysis.
  o Proven ability to analyze labor metrics, staffing models, and operational
  performance to support productivity improvement and labor optimization.
  Docusign Envelope ID: 8B9D3089-FDAC-4C1F-972A-4355503D46B5
  o Experience developing or contributing to financial pro formas, PEC submissions,
  business cases, cost-benefit analyses, and ROI models.
  o Prior experience working with leaders across multiple departments or service
  lines to influence change and deliver measurable results.
  Technical Skills
  o Advanced proficiency in Microsoft Excel, including modeling, forecasting, Power
  Query, Solver, and automation techniques.
  o Strong Power BI experience, including dashboard development, DAX, and
  building data models.
  o Working knowledge of Epic workflows, reporting tools, and data extraction.
  o Ability to use statistical analysis tools and apply analytical methods to solve
  complex operational problems.
  o Familiarity with layout design, space planning, and facility optimization