Built and leading the Workforce Strategy Organization, comprising Workforce Analytics, Location Strategy, Headcount Planning, and Model Optimization Solutions and Data Engineering, growing it from 3 to 22+ people by 2022, with a focus on Data Science and Solution Deployment. Prioritized internal promotions to establish a Core Leadership Team before hiring externally to enhance capabilities and meet evolving workforce demands.

The Workforce Strategy team offers predictive and prescriptive Workforce Analytics, Location Strategy, and Workforce Planning & Automation services. Combining location and site health metrics with sentiment data to optimize Headcount (HC) Planning, which encompasses both short-term and long-term HC strategies based on key indicators such as attrition, net level progression, and transfers enabling company leaders to make informed decisions on growth and effectiveness goals. Corporate workforce goals including budget, growth, real estate, job level, diversity, organizational health, and feasibility of new and existing employee growth strategies.

• Automated attrition forecasting with 93%+ accuracy YoY for 2 years and 94% accuracy in 2022 using multiple Python models; quarterly and monthly automated forecasts achieved 95%+ accuracy and 95% accuracy in 2022.

• Diversity forecasting of total company and leadership goals aligned with 50 in 5 and 30 in 5.

• Streamlined HC Planning through the development of an application that automates hiring targets, seniority mix, level and location HC plans, and attrition forecasting. Provided Headcount Forecast plans: 10yr multi-scenario, 5yr financial budget, and 1yr tactical forecasts.

• Designed and built global location strategies and site algorithms to forecast engineering and key role market availability, recruiting feasibility, and hiring plans, enabling effective workforce planning that aligns with both holistic company growth and reduction objectives.

Data Science and Analytics Executive enhancing YETI’s Digital IQ through operational Data Science and Visual Analytics. CFO direct report focused on Direct to Consumer (DTC) engagement through Predictive and Prescriptive Analysis of customer behavior, product performance, category share, and market level trends.

University of Texas – McCombs Advisory Council for Master’s of Business Analytics / Data Science (2019).

• Developed YETI’s Digital Strategy to deliver an analytical community among disparate teams crossing all categories to improve our understanding and utilization of data, analytics, and data science.

• Created YETI’s Business Analytics team including team structure, role descriptions, team standards, operational processes, and hiring of best fit candidates based on company needs and culture. Team comprised of Sr. Data and Business Analyst and Data Scientist.

• Developed Data Science Targeted Marketing utilizing Model/ Algorithm to identify and predict customer behavior and target those customers w/ performance marketing resulting in a $100k monthly increase in category sales. Targeted audiences by Category and Products.

• Developed YETI’s Customer Data Strategy including Customer Dimensions and Data Structures. Created/Standardized metrics of Customer Lifetime Value, Customer Category Lifetime Value, Customer Traffic by Category and product via GA360 w/ YETI customer data, Customer Purchase Value, Purchase Frequency, Customer Lifespan, Customer Value, Customer Journey by Channel and Category, Customer Journey by Marketing Channel and by Category.

• Created Omni-Channel Demand Data Structures, Reporting, and visualization across DTC, YETI Retail, Amazon, Wholesale (Traditional Retail), and International.

• Visualized Customer Metrics and Journeys utilizing Tableau to Geographical location to identify Market Customer Trends and Opportunities across DTC Channels.

• Developed Hershey’s Analytics and BI Strategy approved by CEO and Executive Committee. Strategy comprised Data & Technology, Data Science, and Advanced Analytics Application Integration.

• Designed and Implemented high performing Business Intelligence and Advanced Analytics organization that executes advanced solutions in Supply Chain, Marketing, Sales, Finance, HR, and Research and Development.

• Created IS Data Science Lab/COE to standardize Data Scientist career path, operational standards, modeling best practices utilizing Machine Learning, business engagement, and algorithm production implementation.

• Utilized Machine Learning (ML/AI) to Automate Demand Forecast improvements by 50% for new items on GPU Cloud cluster to run thousands of model iterations; selecting best estimated daily demand forecast.

• Implementing Predictive (AI/ML) Hybrid model for seasonal product sell-in, seasonal allocation, and seasonal product sell thru at Retail. Model’s focused on accuracy of actual and potential sales (based on POS out of stocks) to improve product sell-in/sell thru opportunities at retail.

• Implementing Digital Transformation utilizing ERP (internal) with IRi to consolidate operating platforms, improve Product Life Cycle Management (PLM), enable self-service BI, standardize global business processes, and enable Real Time Analytics of Big Data at retail for Hershey.

• Cross Functional Executive team that RFP/Procured/Implemented Revenue Management Strategy. Utilized data science to improve lift forecasting via hybrid models in R, improved coefficients, and baselines of incremental sales.

• Implemented SAP Trade Promotion Management (CRM) data integration with internal sales and marketing data to improve enterprise planning, trade planning, and trade effectiveness. Integrated TPM w/ Revenue Mgmt. baselines, elasticities, and coefficients to build hybrid models that improve lift forecasts and promotion effectiveness at retail.

• Developed Executive Strategy for Hershey’s Enterprise Cloud Environment (DataLake) for Advanced Analytics

• Big Data expert for Chief Knowledge Officer; Lead cross-functional implementation DataLake: AWS and MS Azure

• Lead Advanced Retail initiative to ingest T-log data and Predict store/register level out of stocks, and correlate customer purchases within the POS transactions utilizing data science and statistical modeling.

• Palantir engagement enabled End-to-End Supply Chain visibility to predict and sense changes w/ data driven insights.

• Implemented “Big Data” solutions aligned w/ Corporate Initiatives in Sales, Marketing, R&D and Manufacturing.

• Designed Strategy to transform Hershey Insight Capabilities used to grow Global Confection category at Retail.

• Automated Dashboard Analytics for global insights with Backend Retail Data system powering Field Sales Execution.

• Developed Seasonal Strategy that improved sales capabilities including Walmart order writing, increase 2% seasonal sell-thru, and reduced rep activities by $2M utilizing data driven insights and analytics.