New York University - Leonard N. Stern School of Business

University of Pennsylvania

Product Strategy at Salesforce

San Francisco, California, United States

Guides product roadmaps across all Mobile pillars by providing strategic analysisPartners with Engineering and Product managers with strategic support to improve decisionsBuilds our 'Experience Engine' that enables customer success, powered by data and a data driven culture

Salesforce

Product Strategy Analyst - Mobile

Analytics and product data science lead for Mobile.Partner with Senior Leadership to understand business objectives and advise on strategic directions, product development, road maps, growth goals, and retention strategies. Develop and own the relationships with senior stakeholders across the company with regards to data strategy.Bring data, analysis, and data science to each decision at Salesforce. Define, measure, and predict enterprise, user, and business outcomes based on data.Utilize unstructured data from multiple big data sources (PB+) using and contributing to data science scripting languages.Build POC analytical streams and work with engineering and data science teams to productionalize insights into data products.Evangelize data insights via consumable media that inspires action.

Mobile Lead - Data Intelligence

Hands-on data analytics director that sets the analytics roadmap for improving end-to-end operations performance for national eCommerce grocery business. Researches business effectiveness and influences rapid strategy changes to gain market share.• Implements data science approaches to improve key business functions of marketing strategy, delivery routing, item catalogue offering, and pricing that drive bottom-line results in customer acquisition, retention, and engagement.• Utilizes machine learning AI, custom coded visualizations, data mining, and rigorous empirical statistical analysis to improve and automate business functions.• Develops and maintains data driven pricing strategy based on customer behavior and price elasticity that increases sales while maintaining profitability.• Leads organizational data science collaboration group partnering with experts across the company to improve capabilities.

Albertsons Companies

Director of E-Commerce Analytics, Strategy, and Data Science

Influences executive leadership through technical analyses and strategic recommendations. Applies data science methods to principle retail functions (merchandising strategy, inventory control, and logistics) to reduce costs and improve profitability. Inspires cross functional groups to adopt data driven recommendations and strategies.• Spearheaded development of assortment planning tool utilizing product demand algorithm to improve merchandise turnover and reduce fulfillment costs. Examined organizational adoption and organized roll out strategy. Project to realize ~$20M in cost reduction in first fiscal year.• Redesigned warehouse peak capacity plans utilizing predictive analysis of bin utilization and product productivity. Set company standards for inventory control during peak ownership period.

Macy's

Director of Analytical Consulting

Retail executive that performs extensive sales analysis on merchandise and selling locations to manage the buy process. Sets order quantities and optimizes depth/breadth by size, color, and location including ecommerce distribution centers.• Incorporates rigorous data science, statistical analysis, and machine learning into strategic business decision making and tactical execution.• Lead a merchandise division that delivers more than $300M in annual sales. Responsible for long term strategic location and online channel planning, localization initiatives, and allocation strategy. Innovates the workflow process by including new techniques to minimize risk and deliver sales growth.• Applied web-mining with geographic targeting for regional analysis of competition that resulted in 2% market share increase over 6 months.• Regularly employs advanced time series analysis (component decomposition using STL, SARIMA, and State-Space Models) to accurately predict future demand by product category and distribution channel.• Leverage predictive modeling and regression analysis for inventory demand of seasonal merchandise that improved merchandising allocation decisions and optimize inventory.

Director, Omni Channel Merchandise Planning

Lead planning and demand forecasting function for merchandise team and developed seasonal departmental sales and margin targets. Executed by-store assortment plans that supported promotional strategies.• Piloted customer centricity merchandising initiative for Macy’s partnering with Dunn Humby consumer data platform to gain consumer level data insights to improve strategic decision making.• Accurate forecasting and allocation strategies lead to sales growth and turnover improvement.

Director, Merchandise Planning

Managed location planning and allocation for vendor merchandise. Made assortment recommendations to business partners using historical locational analysis to identify opportunities.• Modeled and forecasted demand for highly seasonal product.• Analyzed sales history to model sales flow and need for replenishment merchandise.

Associate Planner

Assisted in order management, pricing strategy implementation, and advertising execution for fashion merchandise. Tracked departmental receipt flows for new and re-ordered merchandise. Interfaced with vendors, distribution centers, and stores to ensure merchandise execution for the customer. • Implemented price-elasticity analysis of promotional pricing strategy that influenced pricing policy of trending merchandise.• Performed regular ad hoc sales analysis of merchandise that reviewed style, color, and promotional fashion sales performance.

Andrew Mangano