Jonathan Brownstein
Senior Contract · Data & Analytics
Senior Data & Analytics Leader · Predictive Modeling & ML · Executive KPI Dashboards Contract Data Scientist · Defined Deliverables · Production Handoffs |
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. Senior contract data & analytics specialist with 15+ years shipping production outcomes in regulated insurance and reinsurance. I ramp quickly on scoped assignments—predictive models, executive dashboards, and audit-ready analytics—integrate with matrix teams with minimal management overhead, and deliver documented handoffs your staff can sustain.

About Jonathan BrownsteinContract Profile
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. I am a senior contract data & analytics specialist for regulated insurance and reinsurance environments. Hiring managers bring me in when they need defined deliverables shipped—production ML, executive reporting, or analytics architecture—not permanent headcount, and a practitioner who integrates with existing matrix teams from day one.
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. I execute scoped mandates independently: predictive modeling, classification ML, statistical outlier detection, and Power BI, Tableau, and SSRS reporting. I communicate progress against milestones, keep deliverables audit-ready, and hand off production systems with documentation and context so internal teams can operate without dependency on the contractor.
My work has earned C-suite recognition, driven data democratization initiatives, and delivered automation at massive scale across 1T+ records. My delivery record includes CEO-recognized ML systems, automation at 1T+ record scale, and contract dashboard reporting assignments during graduate school with regulated commercial banking and public sector financial systems clients—the combination contract hiring managers look for when the assignment has a hard deadline and a production bar.
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
Independent Delivery & Handoffs
Scoped execution with clear status communication, production documentation, and knowledge transfer at engagement close
Professional ExperienceDelivery Record
Senior Data Analyst III
Senior Analytics & ML Delivery
Enterprise Data Scientist & Analytics Architect (de facto) Production deliverables · Regulated enterprise · Matrix stakeholder deliveryOperate 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. Long-form contract delivery record in regulated enterprise environments—production reporting, platform validation, and governance outcomes on scoped assignments. Shipped deliverables end-to-end: requirements documentation, acceptance testing, dashboards, and audit-ready handoffs across business, IT, compliance, and governance stakeholders.
- 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.
- ARIMA Forecasting Platform — Delivered an automated forecasting system on a defined mandate—predict Net Amount at Risk (NAR), enable anomaly detection, and replace manual actuarial review with repeatable production analytics.
- 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.
- ML Classification for SAL — Scoped ML delivery to modernize the Same-As-Link process—improved matching accuracy, regulatory consistency, and auditability; recognized by executive leadership.
- 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.
- Statistical Outlier Detection — Built production outlier-detection frameworks (PDF theory, enterprise-scale data mining) with documented methodology and handoff for ongoing operational use.
- 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.
- Valuation Extract Comparison Architecture — Delivered a reusable valuation comparison platform replacing ad-hoc reconciliations—repeatable analysis, audit-ready outputs, faster finance review cycles.
- Field Inventory Report — Architected a comprehensive metadata and data-lineage reference asset that became the authoritative enterprise reporting standard for the Seriatim Data Warehouse (SDW).
- Field Inventory Report — Produced the authoritative metadata and lineage reference for the enterprise data warehouse—documented asset adopted as the enterprise reporting standard.
- 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.
- Executive & Operational Dashboards — Delivered Power BI, Tableau, and SSRS reporting packages with KPIs for executive and operational stakeholders—clear handoffs and sustained use after delivery.
- Process Improvement — Drove data-driven process improvement initiatives that reduced manual review cycles and strengthened reporting accuracy across enterprise pipelines.
- Process Improvement — Reduced manual review cycles and strengthened reporting accuracy through scoped analytics improvements with measurable operational impact.
- 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.
- Vendor & Partner Governance — Directed external analytics and BI partners on scope, quality, and delivery—experience that translates directly to contractor coordination within client matrix teams
- 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.
- Executive-Ready Delivery — Translated complex analytical findings into decision-ready narratives for actuarial, finance, and C-suite stakeholders, with audit-ready documentation and handoffs aligned to governance requirements
Contract Dashboard Reporting Analyst
Contract assignment · Graduate school · Dashboard & KPI reportingContract dashboard reporting assignment during graduate studies at UNC Charlotte. Built and maintained reporting dashboards for business stakeholders in a regulated banking environment—translating requirements into visual KPIs, validated data outputs, and documented handoffs.
- Dashboard Development — Designed and delivered reporting dashboards for business stakeholders, turning SQL-sourced data into visual KPIs and operational views.
- Data Validation for Reporting — Validated and reconciled source data to ensure dashboard metrics were accurate and reliable for financial reporting use.
- Stakeholder-Ready Delivery — Partnered with internal teams on scoped reporting needs, iterating on dashboard layouts and handing off documented reporting assets at engagement milestones.
Contract Dashboard Reporting Analyst
Contract assignment · Graduate school · Dashboard & operational reportingContract dashboard reporting assignment during graduate school. Built reporting dashboards to support tax administration operations—delivering visual KPIs, improving data accessibility for management review, and producing documented reporting outputs for a public-sector client.
- Operational Dashboards — Developed reporting dashboards to support tax administration operations and management review with clear visual KPIs.
- Reporting Data Pipeline — Extracted, validated, and modeled source data to feed accurate, consistent dashboard metrics for county reporting workflows.
- Public-Sector Handoff — Delivered scoped dashboard reporting on defined timelines with documentation county staff could maintain after the assignment.
Assistant Business Controller
Analytics & Reporting Delivery
Cross-functional reporting · Vendor coordination · KPI automationPrior analytics delivery experience with cross-functional stakeholders and external vendors—automated reporting, KPI dashboards, and the stakeholder translation skills that carry directly into contract assignments.
- 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.
- Vendor & Partner Coordination — Coordinated external vendors on analytics and reporting deliverables—scope, quality, timelines, and outcomes aligned to business mandates.
- 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.
- Cross-Functional Reporting Delivery — Delivered analytics and reporting improvements across HR, Sales, Marketing, and executive stakeholders on defined operational needs.
- 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.
- Automated Reporting & KPI Dashboards — Built automated reporting and KPI packages that improved data accessibility and operational efficiency with documented, repeatable outputs.
- Stakeholder Translation — Served as the primary bridge between business stakeholders, vendors, and technical teams, translating complex data findings into clear, actionable business outcomes.
- Stakeholder Translation — Translated complex data findings into actionable business outcomes for non-technical stakeholders—a core contract delivery skill.
Architecture & Technical Expertise
Core technical capabilities I bring to contract assignments—ready to deploy on scoped deliverables from day one.
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
Contractor Strengths
- Independent execution with minimal management overhead
- Milestone-driven progress and status communication
- Production handoffs with documentation and audit trails
- Matrix collaboration across actuarial, finance, BI, compliance & vendors
Featured Projects & ResearchDeliverables & Work Samples
Production systems and portfolio samples that demonstrate the caliber of work I deliver on contract assignments.
Capacity & Workforce Modeling Lab
Interactive DashboardStatistical capacity planning and workforce staffing models for a ~7,000 headcount organization with $900M activity-based expense allocation. ARIMA demand forecasting, Erlang-C queueing, Monte Carlo headcount projections, and multi-level drilldowns from executive KPIs to model specifications — built to help leaders take informed staffing and allocation decisions. Portfolio work sample for contract hiring managers: end-to-end statistical modeling—capacity planning and workforce staffing for a ~7,000 headcount organization with $900M activity-based expense allocation. Demonstrates ARIMA forecasting, Erlang-C queueing, Monte Carlo projections, and executive KPI drilldowns in a production-quality interactive format.
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. Delivered an automated time-series forecasting platform to predict Net Amount at Risk (NAR) across the enterprise reinsurance portfolio. The system enables early anomaly detection and executive actuarial decision-making at portfolio scale, replacing manual review 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. Designed and operationalized classification-based machine learning to modernize the Same-As-Link (SAL) process, materially improving matching accuracy, consistency, and data governance across the enterprise data warehouse — recognized by executive leadership.
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. Built enterprise-grade statistical outlier detection leveraging Probability Density Function (PDF) theory to identify large-scale attribute shifts across the data warehouse. The framework prevents downstream actuarial escalations by catching anomalies before they propagate through reporting pipelines — protecting data integrity at production scale.
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. Developed the organization's first valuation extract comparison architecture, enabling repeatable deep-dive analysis of valuation movements across time periods and data sources. Replaced ad-hoc spreadsheet reconciliations with a scalable, audit-ready review process that accelerated finance review cycles and strengthened regulatory confidence.
Education & Credentials
MS, Economics
University of North Carolina at CharlotteCertificate, Applied Econometrics
University of North Carolina at CharlotteBS, Economics
University of North Carolina at CharlotteFLMI
Fellow, Life Management Institute LOMALet's ConnectAvailable for Contract Engagements
Open to senior leadership roles in data, analytics, and AI. Open to senior contract roles through agencies and direct clients. Based in Illinois; available for remote and hybrid engagements.
For recruiters and hiring managers: I take contract assignments where the need is clear production deliverables—not permanent headcount. You get a senior practitioner who ramps fast in regulated insurance and reinsurance, executes independently within your matrix structure, and leaves audit-ready systems with documentation your team can run.
15+ years in insurance & reinsurance domain—less onboarding, more output early
Scoped ML, dashboards, and pipelines with milestones—not open-ended consulting
Documented, audit-ready systems with knowledge transfer at engagement close
Self-directed execution across actuarial, finance, BI, compliance, and vendor teams
ML & Predictive Analytics
ARIMA forecasting, classification ML, outlier detection—scoped from design through production deployment
Executive Reporting
Power BI, Tableau, and SSRS dashboards with KPIs leadership uses for operational decisions
Architecture & Governance
Metadata, lineage, audit-ready assets, and vendor coordination on defined mandates