Amanda L.

Defined Finance data strategy and built out data foundation, governance processes, and 10+ person team to execute. Partnered with cross functional stakeholders to automate solutions that drove actionable insight by combining available data with the visualization, BI, and analytic techniques. Helped to mature finance analytics capabilities from canned reports and manual data analysis into automated data exploration capabilities supporting 100+ finance analysts globally. Currently building out the data science team and internal AI capabilities.

Built out analytic solutions to optimize revenue & margin focused on pricing, discounts, rebates, and sales incentives. Integrated multiple systems, partner data, and product performance data in order to scale business insights for product management teams.

Created, developed, and managed global team of 40+ data scientists, data engineers, data and business analysts, developers and program managers focused on: • Establishing & driving executive SaaS business health scorecard to drive quarterly business reviews and KPI’s across the organization • Built and implemented first internal predictive churn, upsell, and adoption scores to optimize the lifecycle management of customers & renewal program • Led Product Management and development of an analytics solution for a customer lifecycle

Developed pricing proposals and cross business unit packaging bundles and promotion recommendations for Sales, Finance, Marketing, and Product Management executives • Created and codify SaaS integrated metrics framework that measuring recurring revenue streams, retention, and customer profitability by customer segment, route to market, geography and sales segment • Collaborated with sales to determine top revenue generating opportunities by evaluating upsell/cross-sell, and establishing optimal deal parameters and discounting policies to optimize for profitability

s part of the credit lending data science team, developed models and implemented the credit risk strategies to balance risk and reward. This included developing risk scores for credit line increase and decrease and credit card reissue. Support marketing programs by providing risk scores and NPV calc of projects.