● Lead company-wide adoption of data-driven decision making through new measurement frameworks to track success of marketing initiatives, brand strategy goals, and new product activations● Manage an analyst, guide professional development, and coach on coding skills, effective cross-team communication, and data storytelling● Develop eCommerce sales forecasts by merging, cleaning, and aggregating many disparate data sets and calibrating to business strategy● Create and continually enhance 20+ interactive Tableau dashboards that showcase progress against strategic objectives for digital sales, customer engagement, and product category performance● Redesign end-to-end analytic pipelines to be more efficient and implement automation to significantly reduce time spent on recurring deliverables

● Conduct consumer segmentation, basket, and consumer lifecycle analyses among 25+ million global Reebok customers, and present key findings to large cross-functional audiences, including senior leaders● Optimize machine learning models that predict consumer lifetime value and product affinity● Manage an analyst, guide professional development, and coach on coding skills, effective cross-team communication, and data storytelling● Create and continually enhance 20+ interactive Tableau dashboards that showcase progress against strategic objectives for digital sales, customer engagement, and product category performance● Redesign end-to-end analytic pipelines to be more efficient and implement automation to significantly reduce time spent on recurring deliverables

• Led company-wide initiative to improve data quality across all products, provided written and verbal status and strategy updates to executive leadership• Directed creation of new interface to monitor and detect critical data quality errors and developed business processes to quickly correct these issues• Orchestrated completion of major initiative milestones by managing resources, prioritizing workloads, and planning work streams• Drove process improvements, established standards for data quality, and defined new data QA job roles across 10+ cross-functional teams, including technology, analytics, and operations

• Trained and managed a data analyst to oversee critical production processes; delegated key responsibilities and conducted performance reviews• Automated data production processes for entire in-home internet device measurement suite of products to reduce resource cost and time spent by over 75%• Identified, managed, and executed against product enhancement priorities for new in-home internet device measurement data sets, including syndicated solutions, raw data feeds, and custom analyses• Researched the latest cross-platform measurement technologies, including improved third party data matching and audio content recognition, for continuous product improvement• Recognized as technical product manager; sole company-wide point of contact for all in-home internet device measurement products

• Built new product from the ground up to report over-the-top video viewing; automated data production process to remove human error and significantly reduce time spent• Interfaced as the primary contact between sales, product management, & analytics teams to request requirements for new product development and conduct feasibility studies for custom analyses• Mentored and coached new hire to develop analysis and communication skills

• Redesigned and automated data production processes of media planning products worth $15 million in revenue; continued to lead monthly data production • Developed specifications, created data processes, and validated data output for multiple digital audience measurement products and new cross-platform initiative• Oversaw discussion and translated business requirements between product management and software engineering teams; subject matter expert for media planning product• Managed intern and supervised onboarding for two new hires