Functional Skills
Behavioral Analytics
Agile Software Development
Incident Response
Risk Management
Data Analysis
Regulatory Compliance
Predictive Analytics
Finance Transformation
Interaction Design
Systems Architecture
Business Intelligence
Search Advertising / SEM
Identity and Access Management
Software Skills
Python
MongoDB
Java
ServiceNow
Perl
SQL
JavaScript
Jira
C
AWS
SAS
Alteryx
Google Docs
Sector Experience
Aerospace & Defense
Financial Services
Technology
Fortune 500
Experience
Self-Employed
Data Science / Analytics
Independent Consultant
6/2024 - Present
Advisor to Startups. Provide strategic guidance to cybersecurity startups and small businesses on cyber, insider, and technology risk management to help reduce cyber and insider risk. Advise companies from Seed to Series E stages, partnering with leadership to align market needs, risk priorties, and product innovation.
Wells Fargo
Data Science / Analytics
Director, Insider Risk Data, Analytics & Modeling
10/2021 - 4/2024
To address major long-standing regulatory issues, led transformaton of enterprise insider risk strategy/processes, forging cross-functonal partnerships across the firm including the CISO, HR, Legal, and Compliance organizatons. Assessed and updated outdated insider risk policies and developed new requirements. Guided cross-functional teams to collaborate and detect as well as investigate employee, contractor, and third-party anomalous behavior and respond to incidents—reducing cyber/insider risks, fraud, and conflict of interest risks. Delivered results on time and under budget, saving $1M+ in six months. Built and led global high-performance low-attriton teams to integrate DLP, SIEM, SOAR, UEBA, Phishing, Physical Security, Fraud, and Compliance data with enforceable SLAs. Applied AI/ML, mathematical models, and Social Network Analysis to generate actionable risk metrics, delivering dashboards and scorecards that helped cut insider data exfiltration risk by 80% and exceptions by 90%.
Capital One Financial
Data Science / Analytics
Director, Cyber Risk Analytics, Modeling, and QuanƟficaƟon
12/2018 - 10/2021
Addressed fragmented enterprise Cyber Risk by developing an innovatve vision and leading cross-functional teams to transform and mature enterprise cyber risk quantification processes, enhancing efficiency and scalability. Championed risk-based management over compliance-driven management across 2,000+ enterprise applications for Cyber. Implemented risk-based technology project prioritization using CIS-RAM to build in cybersecurity by design and developed security automation in AWS to drive enterprise-wide Cyber Risk Quantification (CRQ). Built, directed, and coached collaborative cross-functional teams to consolidate siloed cyber risk operations, elevating risk analysis, quantification, and governance practices across the enterprise. Advised Senior and C-Suite Executives on maturing risk practices. Adapted CIS-RAM to embed cybersecurity by design into projects, leading comprehensive cyber risk assessments for dozens of technical initiatives. Enabled efficient portfolio prioritization.
Great-Circle Technologies
Data Science / Analytics
Director, Insider Risk Analytics
3/2013 - 11/2018
To ensure compliance with a Presidental Executive Order, established a vision and designed/implemented an award-winning Insider Risk Data & Analytics program for a major Three Letter Federal intelligence agency. Defined security policies aligned with Federal NIST 800-53 standards, enhancing decision-making and operational efficiency through innovative data processing, AI/ML, and advanced analytics, reducing insider risk and fraud. Directed complex investigations and managed a $6M budget for a 25-person team. Led the writing of a winning $25M contract, securing long-term growth. Identified critical gaps in insider risk and fraud detection, delivering a multi-year vision and roadmap to senior leadership. Operationalized enterprise data, advanced analytics, and AI/ML models to detect anomalous behavior and mitigate insider risk. Recruited, trained, and led global cross-functional teams driving high team performance.
IBM Global Business Services
Data Science / Analytics
Advanced Analytics Managing Consultant
7/2010 - 3/2013
To reduce risk in military intelligence/counterintelligence operations, developed holistic mission-critical solutions by fostering collaboration across departments and teams in a U.S. DoD intelligence agency. Presented actionable metrics and reports to senior executive leadership and in-country teams. Led data analysis for counter-terrorism investigations and contributed to multiple winning proposals. Built, coached, and led diverse cross-functional teams, leveraging intelligence data and advanced analytics to double efficiency and significantly improve operational quality. Identified intelligence gaps and drove complex projects to process and analyze large volumes of classified and OSINT data, enhancing risk management. Led teams in developing innovative statistical and decision theory algorithms, creating a data-driven model for a route-mapping tool that improved travel safety in conflict zones.