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Change is on the horizon! You have built your new administration transition deck, briefed your team, and quantified the business case for organization, budget, and programs. You have highlighted opportunities for efficiency and formed your own strategy for transformation.
Rick has spent nearly two decades leading large-scale transformation efforts, primarily supporting federal health agencies. As Vice President of LMI’s Public Health submarket, he leverages his deep healthcare expertise and functional skills in digital transformation, policy implementation, and data analytics to help clients achieve their missions.
Coupled with its Performance Optimization Line of Business, LMI uses Risk Management to enhance the efficiency and effectiveness of organizations and operations. If your organization is looking to better integrate Project and Risk Management activities within your specific Agile environment, LMI’s team of Project and Portfolio Management (PPM) subject matter experts can help.
Rob is a longtime LMI expert in systems modeling, data analytics, logistics analyses, and software development.
Robert Beach manages programs that serve our defense, homeland security, and energy clients. He has extensive expertise in the field, particularly in risk analysis, mitigation, and the development of effective strategies.
As a U.S. Army veteran and executive leader with 20 years of industry experience, Ryan brings a disciplined approach to business development, coupled with project delivery expertise, to drive market growth.
Ryan Stem is an accomplished project manager with 12 years of professional experience, primarily in the IT industry.
Ryan Wempe supports LMI’s Human Capital Solutions leadership group as the practice area lead for human capital strategy and planning. Ryan has nearly 20 years of leadership experience spanning intelligence operations in the Department of Defense, data and analytics at a Fortune 100 firm, and consulting in the public sector.
Dr. Sarah Lukens is a Fellow at LMI. Her area of expertise is in developing data-driven analytics for reliability applications by combining modern data science techniques with current industry performance data. Her work involves analyzing asset maintenance data and creating statistical models that support asset performance management (APM) work processes using components from natural language processing, machine learning, and reliability engineering.