New York City Metropolitan Area
Principal Product Manager at Amazon with experience leading large-scale, cross-functional product design and strategy from concept to launch. Deep expertise in roadmap ownership, senior leadership stakeholder alignment, and data-driven decision making. Proven record driving business growth, operation efficiency, and customer experience at global scale. Passionate about building high-impact teams, product innovation, and delivering measurable outcomes in fast-paced, tech-driven environments.
Employ market trends and data analytics to guide long-term decision-making regarding pricing models for RFPs, development-stage business, and established business. Analyze long-term goals of organization to identify areas of weakness in business development and suggest strategic initiatives to upper management. • Promoted within a six-month timeframe for exceeding goals for business growth and driving analytical processes • Led team responsible for developing scalable pricing models for products through development to deployment stages, resulting in $3B+ awarded business with multiple Fortune 50 customers through 2022. • Drove optimizations with procurement managers and vendors, development and field engineering, and contract and sales team to increase margin by 20%. • Standardized team’s analytical processes and set relevant KPIs to identify areas of focus for entire business planning process.
Consolidate and analyze cost data, working with team members across multiple business lines to communicate trends and learning opportunities to upper management. Drive long-term strategic planning for contract negotiations and future business ventures. Evaluate current operations to identify and implement cost optimization opportunities. • Employed cost data and business strategy inputs to drive contract renegotiations with third-party suppliers, resulting in $10M yearly savings. • Analyzed and identified opportunities for business optimizations that resulted in improving performance insights for management and optimization opportunities for operational resources network. • Optimized pre-existing bottlenecks and operational overlaps in supply chains to reduce logistics spending, resulting in $15M yearly savings, without sacrificing product quality expectations.
Manage short-term and long-term purchasing needs by utilizing internal production data and external market data. Create and communicate forecasting plans to SMEs from various disciplines. • Own purchasing and consumption of facility’s second largest product, ensuring proper management by utilizing internal needs and external market trends. • Integrated trends in historical data along with day-to-day communications with engineering and sales teams to guide planning decisions, achieving 98 percent optimization accuracy.