Associate Director
CurrentLed Brand Analytics and Procurement Analytics as a strategic data partner, driving actionable insights to support business decision-making. Spearheaded the digital transformation of the Third-Party Risk Management (TPRM) process. Developed the Brand Analytics roadmap, long-term solutions, and ad-hoc analysis on cost reduction, risk mitigation, and LOE strategy. Applied advanced analytics, including machine learning, simulation, predictive modeling, and interactive dashboards to support brand planning, annual performance reviews, and new market launches.- Identified $9M in savings for growth brand regulatory starting materials through vendor cost analysis, while mitigating $1.5B projected revenue risk- Enabled selection of low-performing SKUs across multiple markets by developing a machine learning model; predicted 20% cost reductions or $13M in annual savings- Led implementation of a custom-built web application to streamline risk data collection for multi-site Procurement teams, achieving 50% efficiency improvement and saving 780 hours annually- Enabled predictive analytics for supplier and geo-risk that accelerated risk assessment cycles by simplifying metrics, reducing timelines by 4x and transitioning from annual to quarterly assessments- Spearheaded the update of 23 Pharma Analytics dashboards, integrating the Legend ERP system with enterprise SAP, resulting in an estimated cost savings of over $860K- Led SAP Procurement Supplier List data quality improvement initiative for site procurement teams, standardizing direct material and supplier data entry in SAP, and increasing data accuracy by 20%- Pivotal in support of data product enablement initiative to establish cloud-based data foundation, enhancing advanced analytics and self-service reporting capabilities- Specialized in comprehensive analysis on supplier risk, contract obligation, SKU and market level margin and cost, inventory sensitivity, write-off and obsolescence, and lead time optimization