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Lanie Dixon

Lanie Dixon

Detroit, MI, USA

Data Driven, Strategic, Collaborative Leader

DIRECTOR, PERFORMANCE EXCELLENCE & PATIENT EXPERIENCE at St. Joseph Mercy Oakland - Trinity Health

Open to Remote
Open to Relocation
Contact

Background

Multifaceted leader with extensive experience in the healthcare industry. I possess a comprehensive background in leading, training and developing teams; collaborating with key system wide stakeholders to execute project deliverables; and managing, spearheading and implementing initiatives that reduce organizational overhead and improve daily operations. I am confident in my strong interpersonal, communication, organizational and analytical skills as well as the ability to manage multiple projects simultaneously.


Job experience

  • November 2018 - present
    DIRECTOR, PERFORMANCE EXCELLENCE & PATIENT EXPERIENCE
    St. Joseph Mercy Oakland - Trinity Health
    Pontiac, MI, USA

    Leads a team of Performance Excellence Leaders to implement a series of LEAN and Six Sigma projects based on the organization’s corporate strategy through process mapping, value stream analysis, and the development of leadership management systems.


Education

  • University of Michigan Flint
    Masters of Business Adminstration
    2014 - 2016
    The Master of Business Administration is focused on teamwork, leadership, and effective decision-making processes. The University of Michigan-Flint MBA instructs students in the proper application of general management principles and advanced problem-solving techniques.
  • University of Michigan Ann Arbor
    B.S.E. Industrial Operations
    1992 - 2001
    Industrial and operations engineers use data to analyze, design and optimize — improving decision making and shaping systems comprised of humans, machines, and processes. An IOE degree is relevant to all industries and sectors of the economy including business consulting, energy, finance, health, manufacturing, robotics, and transportation.
    The IOE curriculum emphasizes critical thinking and the development of specialized skills at the intersection of computational, mathematical, statistical, and social sciences, together with principles and methods of engineering and data science to have a positive societal impact on government, for-profit, and not-for-profit organizations.