Leads software development, institutional data collection and technical product management teams.

Directs team that performs all IT operations for the society including conference and membership systems. • Crisis management of department during financial exigency, organizational restructuring and loss of all developers with knowledge of conference systems in the process of being re-built. • Establishing communications with the board of directors and senior leadership team including reporting on the current financial state of the department and all active contracts. • Quickly identifying and eliminating over 500k in costs that were not essential in IT operations.• Restructuring, modernizing, and creating an agile IT department to meet member needs. Key Accomplishments: • Identifying and eliminating over 500k in costs that were not essential for technical operations to successfully continue. • Successfully recruited a team to finish the conference management system and generated over 1.8 million in revenue.

Directs over a million dollars in annual data collection activities on engineering education including detailed admissions, retention, completion, enrollment, degrees awarded, faculty salary, research expenditures and research expertise data • Manages vendor oversight, contract negotiation, regulatory compliance, and performance monitoring on data-centered IT projects ($1.8 million in projects from 2020-23)• Design and implement evaluation plans for conferences, academic programs, fellowship programs and research• Serves as staff liaison with ASEE Board of Directors and Engineering Deans Council Data Committee for the data collection activities and attached funded projects • Provides support to higher education leadership using data-driven approaches for program assessment, innovation and diversity initiatives.• Trains new PI's and research staff on internal IRB, budget building process, contract negotiation, monitoring & compliance Key Accomplishments:• Built partnerships to secure external funds: PI on $2.3 million in NSF funding (through direct awards and sub-awards); Co-PI on over 20 million in NSF funded projects• Integrated Net Promoter Scores into conference, meeting and workshop evaluations to allow for benchmarking event performance• Leads the creation of a shiny-server and guided the creation of dashboards for internal membership metrics and externally funded projects including an API for the reporting database to allow clients (including Microsoft and Google) to build their own dashboards using ASEE data for their University Relations and Talent Management teams.• Led the migration of ASEE’s premier engineering data collection (20 years of data spanning, 300 plus colleges of engineering for 12k+ data points for each college each year) into a modern reporting system. Successfully completed the migration and built new revenue with synergistic externally funded projects.

Manage research office budget and provide data analysis support for research projects in the national office. Evaluate grant proposals for technical feasibility and alignment with organizational mission; manager of search process for research office staff; Negotiate and manage contracts with outside vendors. Represent the organization to the post-secondary data community. ● Responsible for validating data, produced national descriptive statistics, created summary report for distribution for the annual Faculty Compensation Survey. Identified outliers and followed up with respondents for clarification. ● Identified potential for revenue-generating products sold to members, based on input from management and feedback from previous buyers. For example, the benefits report analyzed institutional benefit expenditure by type (medical, retirement, tuition, etc.) which allowed universities to calibrate specific benefits in line with peer institutions. Created separate “tidy data sets” that allowed buyers to import data into any SQL system. ● Consult with member institutions and leadership to explore methodologies to report and compare compensation that affect HR decisions and outcomes. ● Trained leaders on using data for organizing and strategizing salary negotiations.Key Accomplishments: • Featured in media interviews and responded to media queries about trends in national faculty salary for higher education.• Automated the data workflow for our faculty compensation survey to decrease the time for validation and make the data more useful for all stakeholders thus increasing the revenue generated from the survey by 25% (To 112k). • Recovered 90% of lost revenue from the previous year (18k).

Hired as a Visiting Research Engineer in 2014. Promoted to Linguistic Data Analytics Manager in 2016. Continue to work with graduate students who are completing research and dissertation projects as a faculty affiliate (2017-2020).● Consulted with social sciences and humanities faculty researchers and graduate students on challenging questions associated with data that required analysis beyond the commonly used techniques and transformation of data to apply models from statistical packages such as R, SAS and SPSS. Talked through high-level statistical concepts with established researchers who did not come from quantitative background. ● Served as consultant to NSF and NIH researchers on statistical portions of grant proposals. ● Taught a variety of courses in statistics and data analysis to graduate linguistics students ranging from introductory courses to those with no background in these areas, to Ph.D level students who were preparing for dissertations. Key Accomplishments● Served as supervisor or committee member for 15 doctoral students. ● Designed and presented over a dozen workshops for faculty and students at universities in the United States, Canada and Ecuador on how to analyze language and survey data. ● Taught 5 advanced statistical and data sciences courses for graduate students

I worked in the Institute of Socioeconomic and Demographic Research on a project examining the motivations of corporate fraud at the end of the 20th century. Analyzed corporate fraud in Fortune 500 companies from 1992-2002. Extracted financial variables from filing statements/restatements filed with the U.S. Security & Exchange Commission. Merged financial statements and restatements with bibliographic data on company executive officers. Statistical analysis of CEO/CFO background, compensation package and the likelihood of fraud. Graduate Research Assistant (2004-2006)Full time Research Associate (Summer 2006)