Jamie McGovern

Special Faculty, Director of the Master’s in Statistical Practice Program (CMU)


Jamie McGovern joined the Carnegie Mellon Department of Statistic & Data Science after a long career in management consulting. As Special Faculty and the Director of the Master of Statistical Practice (MSP) Program, Jamie is responsible for developing the professional skills of MSP students working to build competencies valued in industry and academia. With extensive consulting experience building and leading teams responsible for the development and delivery of global transformation engagements, Jamie works with industry partners to develop instructional MSP capstones that are central to the experiential educational philosophy of developing and practicing concepts while focusing on the context of real-world, practical application.

After an extensive work history in Human Capital Management selling, solutioning, and delivering engagements related to business process re-engineering, strategic organizational design, and enablement of on-premise and cloud enterprise technologies, he most recently co-founded a data science consulting services organization with a mission statement of mentoring and upskilling underserved populations, using education and a public health intervention, and building employee competencies through deployment on analytic consulting projects.

Jamie has held a number of senior consulting industry roles. His experience over the prior 20+ years spans Life Sciences, Financial Services, Consumer Products, Energy, Telecommunications, and Media & Entertainment industries. In the area of Human Capital Management transformation and HR Operations, Jamie has led diverse, cross-border teams in the design and delivery functional and technical solutions geared towards improving the competitiveness of organizations in the global economy while building highly functional and capable practices and cross-border teams of consulting professionals.

Jamie’s areas of thought leadership include strategic talent development, employee data analytics design, Human Capital leading practices, knowledge sharing, and collaboration. He has been an invited speaker at industry conferences and academic events.