Defining strategy, building data and analytics products, and leading digitalization in core Mondelez business: finance, ESG, and HR.

Defined market-leading data and analytics strategies for chief data and analytics officers of Fortune 100 companies and delivered them through executive conference events in presentation, facilitation, and workshop instruction.Drove 10x growth customer base over a 3-year period through collaborative and cross-functional engagements with sales, service, consulting, and product teams across the globe.Created data, experimentation, and measurement strategies to formalize performance analysis around customer experience leading to +10% improvement in customer satisfaction.

- Built a global analytics team across Seattle, WA, Manila, PH, and Managua, NI delivering data-driven leadership across multiple sites supporting customer operations, workforce, budgeting, and data science.- Drove process improvement via product insights, marketing analytics, operations, treasury, and expansion strategy leading to +20% capital efficiency.- Framed, led, and delivered a 25% improvement in Latin American business customer success, measured by a 20% reduction in customer phone inquiries.- Defined data strategy against siloed landscape to create single, global source of truth to meet high financial industry compliance requirements.

- Defined marketing BI and analytics platform strategy for KPI simplicity, data visualization, and automation across enterprise-wide Teradata platform. - Rationalized report and application strategy through and elimination of duplicate and unused reporting and dashboards.- Led coaching program for team of over 30 analysts and managers across multiple disciplines for marketing analytics (statistics, writing, data visualization, etc.).

Singular owner of consumer analytics, customer insights, and data science for all both marketing and loyalty analytics (CRM, research, and analytics).

Led a team of analysts within customer operations (CO). Core focus rested in connecting CO to analytical and data tools to achieve improved automation, data quality, timeliness, and lower costs.

Built team responsible for developing analytical and operational strategies for fraud detection and customer knowledge; this included performance metrics, forecasting, and budget planning. Defined the vision and lead the implementation of several large-scale data and analytics programs marking a 50% increase in fraud detection, increased fraud capture, and a major improvement in fraud prevention capabilities.

Taught micro and macro economics along with other economics courses