Career Experience
VP of Data Science and Transformation, Sutherland Global
Sep 2025 – Present
Define go-to-market strategy for data-driven business transformation offerings within Sutherland’s Connected Intelligence practice.
Lead development of scalable AI and analytics solutions, integrating data science, engineering, and automation to drive client outcomes.
Partner with Sales and Presales teams to shape solution architecture and close strategic deals; own P&L for analytics solution portfolio.
VP of Data, Terakeet
Mar 2025 – Sep 2025
Drove company-wide shift from SEO to Brand Enablement through data-led thought leadership; defined and led team of 10 to execute supporting data architecture, reporting, and analytics initiatives.
Authored internal and public-facing content on generative AI strategy, helping establish the company’s voice in the emerging AI space and influence industry perception.
Unified data science, engineering, and BI under a shared backlog and delivery model, increasing team alignment and eliminating redundant effort.
Managed department budget of ~$2M and negotiated key contracts for data infrastructure and analytics.
Director of Data Science, Terakeet
Mar 2023 – MAR 2025
Department Building
Founded and scaled Data Science and Business Intelligence departments.
Acquired and scaled Data Engineering, increasing on-time delivery of projects by 10x.
Established standards for prototypes and production code, incident response policy, and load testing.
Created systems for project intake, definition, prioritization, evaluation, and incident response.
Ongoing Execution
Managed resource allocation and prioritization across all three data teams.
Delivered high-impact projects including the Total Addressable Market system, Growth Projections, and Content Recommender, which help quantify clients’ market position and target company efforts.
Developed and patented production-grade AI systems deployed in client-facing tools.
Established corporate position on use of AI and formed cross-functional oversight group.
Trained, evaluated, and deployed models including LSTM Growth Projections, fine-tuned LLM classifiers, and a stochastic content simulation engine.
Senior Data Scientist, Terakeet
Dec 2021 – Mar 2023
Created departmental standards for model documentation, deployment, and maintenance.
Developed proprietary system for growth projections, improving accuracy by 67%. Projections are used to quantify value to prospects and set KPIs for prospects and active clients.
Developed classification, prediction, and fine-tuned NLP products using multilayer perceptron, XGBoost, regression, and time series models.
Deployed models and other endpoints using Snowflake, Snowpark, OpenAI, HuggingFace, and AWS.
Manager, Learning Analytics and Research, Ascend Learning
Apr 2021 – Dec 2021
Led data strategy across 10+ interactive products.
Developed machine learning and NLP models for application in interactive learning environments.
Established A/B testing program to explore product features’ impacts on learning and perceptions.
Lead Data Scientist, Kognito (acquired by Ascend Learning)
Jun 2019 – Apr 2021
Led research and data analysis from R&D to stakeholder reporting on over 20 projects.
Created and implemented research protocols to collect data on users’ cognitive processes to inform product improvements during development.
Developed scoring algorithms for branching adaptive scenarios.
Created internal reporting on simulations’ usage and efficacy using R Shiny, SSRS, and PowerBI.
Research Scientist, Ascend Learning
MaY 2017 – Jun 2019
Developed predictive models for student outcomes with > 90% accuracy.
Published validity evidence for flagship assessments in peer-reviewed journals and whitepapers.
Developed R, SQL, and SAS code to leverage machine learning and traditional statistical approaches, including boosted linear and logistic regressions, k-NN, decision trees, random forests, and IRT.
Psychometrician Assistant, University of Kansas
Jan 2016 – May 2017
Assistant Researcher, University of Kansas
Jun 2012 – Jan 2016