High energy charastimatic leader that has built the data analytics infrastructure(data product manager) and now the sales, underwriting and HR analytics team from its inceptionProvide the insight, optics, and analysis needed to drive a sales organization to increased enrollments, streamlined lead routing/contact protocol, while providing a competitive environment for sales agents and team leads to challenge previous results and future goals. Analytics around marketing channels and lead routing to determine optimal performance. Measuring model performance for both Lead and Agent scoring to provide lift in overall close rate.Partnering with Product and Engineering to determine new features by sizing impact, estimating growth, and measuring overall effectiveness. Measuring each phase of the sales funnel to determine fallout and provide actionable items to correct.Managed oracle ERP/HCM implementationHR analytics for employee retention, cost of hiring, impacts of training, and what survey results tell you.Google Big Query/Big Data platforms as well as tableau for visualizations.

Producing quarterly road maps to determine a feature set of enhancements and the ROI on each release.As a BI product manager, responsibilities including analytically sizing of the new feature to determine overall impact, working with engineering and product to ensure this feature has the necesasary controls and data attributes and control populations needed to fully track the implementation of the feature, integrate data engineering to build the necessary data platform, and then deliver the final analytics to the leadership team on the overall success.

Analytics Leader - Credit Card Disputes & Recovery*Model established to forecast credit card dispute losses (was able to forecast future losses with 2%)*Reduced monthly dispute losses from by 45% by understanding types of disputes that lead to losses.*Created a white glove treatment for high net worth customers that lead to additional growth across products. *Reduced headcount and turn time by challenging metrics such as talk time and replacing with metrics that move the needle.*Manage a multi-city team of analysts to provide insights to operational leaders

Judgmental Lending Governess and Oversight * Established underwriter lending level authority limits with an annual recertification process.* Created monthly underwriter scorecards by establishing KPI's used as a basis for incentive* Modified aftermarket policy for advance limits determined by vintage performance analysis. * Nonprime portfolio oversight to recommend changes to risk appetite for overall lending buy box.* Managed overall data strategy including multiple data stores (SAS, Oracle, Teradata)BCBS Regulatory Aggregation and Reporting * Team tasked with developing all BCBS regulatory reporting.* Adhered to the core standards of governance, data architecture, accuracy & integrity, * timeliness & completeness, and adaptability for future risk requests. * Managed all functional areas of report creation (SDLC) from initial data requirements, UAT Testing* (ALM) , as well as final report adoption.* Developed Gold Medal Standard report adoption process including artifacts presented * to the BCBS regulatory committee for successful completion.* 2015 Risk execution and leadership award.

Managed technology team that developed the data infrastructure utilized for bank owned write-downs.*Developed an oracle data warehouse that adhered to FFIEC policy.* Converted legacy SAS scripts into consistent data model established.* Incorporated Washington Mutual default financial processes into Chase best practices.* Developed data model to ensure loans are at fair market value at each appropriate loss event.* Disposition of liquidation and charge off events from the appropriate general ledger.* Preserving of all loss events for potential DOJ inquiries.

Due a strong IT background along with a fundamental understanding of the default workspace, i became an enabler of change in the default world. These applications, tools, and processes are still currently utilized.Equity Analysis EngineCalculation engine used to determine if a property has equity to foreclose or not. This engine was wrapped within workflow used to receive the appropriate approval for that decision.Reconciled Market ValueAnalyzed evaluations such as Broker Price Opinions(BPO's), Automated Valuation Model(AVM's), and appraisals to determine the most realistic property value. These values were then fed to many different models such as calculating loss, determining the appropriate action to perform on a loan, as well as sale amount for FCL/REO/Short SaleLoss RecognitionDatabase used to identify all loss events, calculate the amount of loss, and then route through the appropriate hierarchy for approval.Agent DesktopApplication created to modify the terms of a loan for distressed borrowers based on government incentives.

Created a data warehouse pertaining to all stages of MB default collections that contained key performance indicators used to drive monthly incentives for employees. This included hooks or inputs from a large number of disparate systems (Dialer Outbound, ACD / Switch Inbound, Fast Pay, and collections systems).Established a SAS data repository for all servicing systems that was used to produce reporting across the default organization.

Designed and implemented web based intranet solutions for Alcoa, American Red Cross, and STERIS corporation. Contributed in developing a servicing system for the manufacturer housing portfolio at JP Morgan Chase. Leaving a professional sports organization and gaining experience in diverse industries such as banking, medical, aluminum, and humanitarian were invaluable to career growth.Platforms utilized were ORACLE, SQL Server, Cold fusion, ASP, Javascript.

Developer Lead in creating a scouting system utilized to assist management in selecting the proper players to sign to the pirates organization. Also created a broadcast billing system that documented the commercials aired during each game and established a summarization by client. Role included all aspects of the SDLC, training and support of the actual scouts, and analysis of all data collected.