Jonathan Brownstein
Senior Data & Analytics Leader · Predictive Modeling & ML · Executive KPI Dashboards |
Senior data & analytics leader with 15+ years building enterprise-scale, audit-ready analytics in highly regulated industries. I translate complex datasets—including platforms processing 1T+ records—into KPIs, dashboards, predictive models, and executive narratives that drive operational decisions.

About Jonathan Brownstein
I am a Senior Data & Analytics Leader specializing in regulated industries—building enterprise-scale, audit-ready analytics that turn complex datasets into the KPIs, dashboards, and executive narratives leadership actually decides on.
With 15+ years of experience, I design and operationalize predictive models, classification machine learning, and statistical outlier detection alongside Power BI, Tableau, and SSRS reporting platforms. I manage external vendors and consultants on scope, quality, and delivery, and partner across actuarial, finance, BI, compliance, and governance to land production-ready, results-driven solutions.
My work has earned C-suite recognition, driven data democratization initiatives, and delivered automation at massive scale across 1T+ records.
Data & AI Architecture
Enterprise-scale lakehouse, cloud DW, and metadata governance solutions
Machine Learning
Production ML systems—from ARIMA forecasting to classification and anomaly detection
Vendor & Stakeholder Leadership
Manage external vendors and consultants on scope, quality, and delivery while partnering across actuarial, finance, BI, compliance, and governance
Professional Experience
Senior Data Analyst III
Enterprise Data Scientist & Analytics Architect (de facto)Operate as the de facto Data Scientist and Analytics Architect within the Chief Data Office of a heavily regulated reinsurance organization. Partner with actuarial, finance, BI, compliance, and governance leadership to design and operationalize production-grade analytics, predictive models, and reporting across enterprise platforms—serving as technical lead, architecture owner, and quality reviewer while managing external vendors and consultants on scope, performance, and delivery.
- ARIMA Forecasting Platform — Designed and deployed an automated time-series forecasting system to predict Net Amount at Risk (NAR), enabling early anomaly detection and proactive actuarial decision-making that directly informed executive strategy.
- ML Classification for SAL — Led design of classification-based machine learning solutions to modernize the Same-As-Link process, materially improving accuracy, consistency, and auditability of regulatory reporting. Recognized formally by the former CEO.
- Statistical Outlier Detection — Built enterprise-grade frameworks using Probability Density Function (PDF) theory and advanced data mining techniques to identify large-scale attribute shifts, protecting data integrity and preventing downstream escalations.
- Valuation Extract Comparison Architecture — Developed the organization's first valuation extract comparison architecture, enabling repeatable deep-dive analysis of valuation movements across time periods and data sources and accelerating finance review cycles.
- Field Inventory Report — Architected a comprehensive metadata and data-lineage reference asset that became the authoritative enterprise reporting standard for the Strategic Data Warehouse (SDW).
- Executive & Operational Dashboards — Designed and delivered Power BI, Tableau, and SSRS dashboards, visualizations, and reports that translate complex datasets into actionable Key Performance Indicators (KPIs) for executive and operational stakeholders.
- Process Improvement — Drove data-driven process improvement initiatives that reduced manual review cycles and strengthened reporting accuracy across enterprise pipelines.
- Vendor & Consultant Management — Manage external vendors and consultants supporting analytics, BI, and reporting initiatives—selecting partners, setting performance and quality expectations, and overseeing scope, timelines, and delivery against business goals.
- Trusted Technical Partner & Audit-Ready Delivery — Serve as a trusted technical partner to actuarial, finance, and C-suite leadership, translating complex analytical findings into clear business narratives while partnering with data engineering, BI, compliance, and governance to ensure solutions are scalable, audit-ready, and compliant.
Assistant Business Controller
- Vendor & Consultant Management — Managed external vendors and consultants on analytics, reporting, and systems initiatives—selecting partners, setting performance expectations, and overseeing delivery quality, scope, and timelines to keep outcomes aligned with business goals.
- Cross-Functional Analytics Modernization — Led analytics and reporting modernization initiatives in partnership with HR, Sales, Marketing, and Executive Leadership teams, delivering data-driven insights that informed operational strategy.
- Automated Reporting & KPI Dashboards — Designed automated reporting frameworks and KPI dashboards that improved data accessibility, consistency, and operational efficiency, establishing foundational data governance and quality assurance practices.
- Stakeholder Translation — Served as the primary bridge between business stakeholders, vendors, and technical teams, translating complex data findings into clear, actionable business outcomes.
Architecture & Technical Expertise
Analytics & Data Science
- Predictive modeling (ARIMA / time-series)
- Classification machine learning
- Statistical outlier & anomaly detection
- Data mining at enterprise scale
- Applied econometrics & statistical modeling
Visualization & Reporting
- Power BI, Tableau, and SSRS dashboard design
- KPI tracking & performance metrics
- Executive & operational reporting
- Insight storytelling for C-suite audiences
Data & AI Architecture / Governance
- Lakehouse and cloud data warehouse design
- Metadata management & data lineage
- Audit-ready, reusable enterprise data assets
- ML deployment, monitoring & lifecycle governance
Platforms & Tools
Leadership & Delivery
- External vendor & consultant management
- Cross-functional collaboration with actuarial, finance, BI, compliance & governance
- Regulated-industry analytics delivery
- Process improvement & operational efficiency
Featured Projects & Research
Master's Thesis
Research"Has the Shrimping Industry Bounced Back Since Deepwater Horizon?" — A comprehensive econometric analysis examining the economic recovery of the U.S. shrimping industry following the 2010 Deepwater Horizon oil spill. Employs time series analysis, regression methods, and advanced statistical modeling to assess long-term economic impacts.
ARIMA Forecasting Platform
Enterprise MLArchitected an automated time-series forecasting system to predict Net Amount at Risk (NAR) across the enterprise reinsurance portfolio. The platform enables early anomaly detection and proactive actuarial decision-making, replacing manual review processes with scalable, repeatable analytics.
ML Classification — SAL Modernization
Data GovernanceDesigned and operationalized classification-based machine learning solutions to modernize the Same-As-Link (SAL) process, materially improving matching accuracy, consistency, and data governance across the enterprise data warehouse.
Statistical Outlier Detection Framework
Advanced AnalyticsBuilt enterprise-grade statistical outlier detection frameworks leveraging Probability Density Function (PDF) theory to identify large-scale attribute shifts across the data warehouse. The system prevents downstream actuarial escalations by catching anomalies before they propagate through reporting pipelines.
Valuation Extract Comparison Architecture
Advanced AnalyticsDeveloped the organization's first valuation extract comparison architecture, enabling repeatable deep-dive analysis of valuation movements across time periods and data sources. The platform replaced ad-hoc spreadsheet reconciliations with a scalable, audit-ready review process that accelerated finance team review cycles.