Provide strategic consultation and hands-on support for digital transformations, building data science practices, conducting small to large-scale research projects, and program evaluation. Areas of expertise include supply chain and logistics, real estate, social and behavioral sciences, education, and environmental conservation.

Instructor for Supply Chain Optimization and Time Series Analysis and Forecasting, and advising students on Capstone projects.

Own the organizational strategy and roadmap around technology investments, engineering, and data science. Manage and lead a team of data and software engineers. Conduct capability assessment and identify organizational needs for building a data science team, including people, processes, and tools. Identify, hire, and retain top tech talent and manage key vendor strategic relationships. Work with universities and other strategic partners to design and implement research initiatives and create new data assets. Manage a portfolio of data assets, including data and cybersecurity governance. Explore and test the incorporation of ML/AI into organizational practices and products.

Develop the organizational data science strategy in coordination with business, product, and technology. Build and develop data science teams and capabilities. Facilitate data science democratization. Lead data science ML/AI proof of concepts, conduct A/B tests, and deploy models that result in incremental net revenue and cost reductions. Evaluate external data sources. Lead Data Council focusing on data governance and federation. Provide thought leadership on data science in supply chain and sustainability.

Sr. Director, Analytics & Data Science Strategy (April 2020 – July 2021): Develop corporate strategy around data science applications, opportunities, and implementation within a global matrix organization. Develop and maintain a community of practice through data science democratization & standardization. Evaluate external data sources, data models. Conduct ML/AI experiments across a range of marketing analytics, supply chain, and logistics use cases.Sr. Director, Advanced Analytics (November 2017 – April 2020): Lead the Advanced Analytics COE, including P&L responsibilities and product development. Support internal teams by managing a cross-functional team of data scientists, engineers, etc. Lead enterprise-wide data science projects (revenue, profit, foot traffic forecasting models, demand forecasting, and computer vision) and evaluate data utility and applicability. Provide consultation on data models and integration. Work cross-functionally to build, deliver, and maintain SaaS products.Director, Analytics Solutions (August 2015 – October 2017): Provide strategic and thought leadership for new business development, which includes analyzing customer, market, and competitor research, supporting the development of business models, building our data science capabilities, leading analytical pilot projects for pre-sales. Work cross-functionally to build, deliver, and maintain SaaS products (predicting revenue, profit, and foot traffic).Director, Business Analytics (February 2014 – July 2015): Provide forecasting and analytics modeling and leadership for McDonald’s (segmentation, price, geographical trends, trade-off, etc.), and market trend analyses. Assess various programs and products for diverse markets to secure new business. Sr. Manager, Business Analytics (September 2012 – February 2014): Lead item replenishment in McDonald’s North America, Asia, and Australia (forecasting, post promotional assessment, market trend analyses).

Develop courses for the MS and PhD Data Science program for the School of Technology. Teach data science courses. Serve on dissertation committees.

Teach on-line doctoral courses (Statistics, Tests & Measurements, Program Evaluation). Serve as a Dissertation Methodologist. Participate in faculty related meetings and initiatives.

Teach online research methods and statistics courses for graduate Learners. Serve on and chair dissertation committees.

Professional consulting examples and publications are available upon request: - Research methodology & design (qualitative + quantitative) - Professional development for K-12 educators - Assessment & psychometrics - Statistical analysis & modeling - Program evaluation - Campaign evaluation & analysis - Real estate analytics

Teach graduate level research methods and statistical courses in: (1) Quality Assurance, (2) Public Safety and Administration, (3) Education, and (4) Psychology. Maintain an on-going research agenda including conducting original research and serving as a program evaluator for non-profit agencies. Advise students and serve on faculty and college related committees, including chairing committees (e.g. Faculty Senate & IRB). Participate in curriculum and program development.

Provide leadership regarding adult food continuous item replenishment for McDonalds Canada and Japan including data validation, assessing consumer behavior trends and providing restaurant level forecasts. Spearhead the development of a country “readiness” assessment to determine a country’s potential for restaurant order proposal services to be supplied by Demand Planning. Assess the appeal of various programs and products for diverse markets. Conduct forecasts and volume plan quantities at the restaurant and national level. Develop and deliver boardroom presentations.