Jul 2025 – Present · 10 mos

• Drive corporate strategy through data driven insights and scale self serve analytics with AI-powered generative BI solutions. Institute best practices for analyzing data with AI.

Dec 2023 – Jul 2025 · 1 yr 7 mos

• Developing best practices to leverage AI for essential analytics work. Developed tools to enable end users to access data and integrate it with an AI to assist them in their analysis.
• Develop and implement advanced analytical methods and data pipelines for the sales and marketing function.
• Implementing data analysis best practices using AI.
• Leading the development of data democratization methods, platforms, and policies.

Mar 2023 – Dec 2023 · 9 mos

• Direct analytics teams working on Sales and Revenue Operations, Merchant Experience, Business Intelligence, and Analytics Platforms.
• We build data pipelines, machine learning solutions and platforms, experimentation, reporting, data access, and provide analytical support in the acquisition of and continuing success of business partners.

Dec 2022 – Apr 2023 · 4 mos

• Lead the development of world class analytics platforms including machine Learning and experimentation, automated experiment analysis, UI event tracking, anomalous pattern detection, etc.
• Enable the business to conduct statistically robust experiments at scale across all company domains.
• Develop and implement a general purpose anomaly detection solution on all critical processes to detect production excursions at the earliest possible opportunity.
• Track and analyze user interface activity to identify meaningful ways to improve the experience for consumers and partners.

Jan 2022 – Apr 2023 · 1 yr 3 mos

• Drive product experience improvement for merchant partners using analytics.
• Develop Merchant Partner Decisioning.
• Implement UI tracking and reporting across the merchant domain using Amplitude, Google Analytics, and in-house solutions.
• Publish full funnel reporting and identify opportunities for efficiency gains.
• Design and deploy robust experiments at scale to drive increased revenue through higher engagement and platform adoption.

Nov 2021 – Apr 2023 · 1 yr 5 mos

• Develop advanced analytics strategy, solutions, and big data pipelines across all sales channels and operations.
• Mature the data landscape by implementing CRM best practices and data models in Salesforce.
• Build integrations between Salesforce and all other data sources, including both internal and third-party applications, using Mulesoft, docker + airflow, Singer.io, etc.
• Improve personnel performance with machine learning based data mining methods.
• Develop and deploy mobile-first reporting to support and track all sales activities, operations, and b2b marketing.
• Design and deploy statistically robust experiments to drive continuous improvement.
• Predictive scoring for prospects, leads, and existing book of business.
• Optimize sales and customer success playbooks with decision science.
• Territory analysis and runway optimization.
• Enhanced competitor research and analysis.

Feb 2021 – Apr 2023 · 2 yrs 2 mos

• Oversee and direct companywide business intelligence and data pipeline development activities. Negotiate resources and priorities with Sr. Executives, ensuring the timely delivery of robust business intelligence solutions to both internal and external partners.
• Lead teams of BI Engineers and Analytics Engineers to deliver on the objective of making performance data visible to each department in the company with R, Python, SQL, Tableau, etc.
• Manage BI and data pipeline platforms, including governance strategy, architectural requirements, information security policy, vendor relationships, and contract negotiation.
• Increase the maturity of underlying data sources and generate accountability through reports, dashboards, and analyses.
• Develop and deploy innovative analytical solutions to help the business optimize revenue funnels, perform RCA, and identify revenue generating opportunities.
• Scale experimentation through the automation of statistically robust experiment reports.
• Maintain and create tables in the data lakehouse and develop data marts using modern cloud data management platforms and architecture, and data modeling best practices.
• Onboard and train data analysts throughout the company. Help other teams design streamlined onboarding and training processes.
• Design and implement a career development program for the Analytics org, creating a path from analyst to data science and engineering and ultimately technical leadership.
• Monitor, maintain, and develop the annual Analytics department budget.
• Manage the talent acquisition process for Analytics roles which includes senior technical and leadership positions.

May 2018 – Feb 2021 · 2 yrs 9 mos

• Data translator: experiment design and analysis of variance, portfolio trends and health analysis, volume forecasting using Prophet package, root cause analysis using mixed effects models, budget analysis and forecasting, data vendor cost analysis and forecasting, KPI regression modeling.
• Strategic Projects Lead: analytics talent acquisition, analytics product management, author and implement credit policy, Credit Committee Secretary, resource allocation planning, prepare content for executive and external audiences, analytics solution design.