Translates cutting-edge AI capabilities into responsible, compliant deployment strategies that balance AI governance and innovation with enterprise-grade data risk controls.
20+ years steering AI, data governance, and technology risk frameworks across tier-1 global banks and regulatory environments.
Deep expertise navigating Basel IV, BCBS 239, GDPR (Privacy), EU ACT, NIST- RMF, DORA, FFIEC, ISO 31000, and emerging AI regulatory mandates across US, EU, and APAC jurisdictions.
Dr. James L. Gowen, Jr. combines extensive academic knowledge with over two decades of practical leadership in data governance, operational excellence, and emerging AI technology risk and controls across three (3) tier-1 systematically important global banks. He is adept at architecting robust data quality risk control frameworks that balance innovation with stringent regulatory compliance.
Translates complex trends in AI and data into actionable, future-proof risk management strategies.
Drives the implementation of enterprise-grade risk controls and data governance initiatives.
Proven track record leading high-performing teams across diverse international financial markets.
Led enterprise data risk reduction initiatives to accelerate regulatory compliance milestones across multiple business units.
Developed a strategy and secured funding to deploy a cloud infrastructure platform enabling enterprise AI/ML capabilities with robust risk governance (despite COVID 19 constraints).
Established comprehensive data governance and operational risk data controls, achieving zero findings across all regulatory examinations.
Cost Avoidance & Savings
Years of Technology & Risk Leadership
Risk Portfolio Managed
Global Staff
(Dir. Lead / Impacted)
Customers Serviced
Citi -(Retail Channels)
Adoption Rates Achieved
Accelerated Gap Remediation
AI/Data-Related Control Productivity Gains
Cybersecurity - Chance_O_meter : Reducing the time to Detect a Cyber Risk
Challenge:
Leaders still treat uncertainty using single point numbers (averages) which hide (underestimate) tail risk and skew forecasts, bids and critical capital decisions for negative outcomes
Solution
An AI-prototype inspired by Dr. Savage's ChanceOMeter that turns plain-language scenarios into a portable, auditable AI-powered tool for data-driven risk decisioning.
Impact
Cuts analysis time from days to minutes and equips non-quants to utilize "simulation-equivalent" data decision-making for better prediction outcomes and less risk.
(Organizational Process Maturity - Digital - Compliance - Data - Risk - AI Governance)
Gowen, James L. Jr. (2023). An Exploratory Study of Loss Event Frequency Approaches Using the Factor Analysis of Information Risk (FAIR) Model in Non-Financial Risk Areas. Capitol Technology University. ProQuest )
Gowen, Jr., J. L. (2026). Building Scalable Data Pipelines for AI Enablement: The Opportunity Cost of Speed at the Value of Trust. Intelligent Automation (IA) Forum Advisory Magazine, 1(1), 2. Also, serving on the IA Forum's Editorial's Advisory Board Committee for IA Forum Magazine, 2026, IA Forum Magazine
.
Panel speaker at IA FORUM Virtual Event: February 20 (2026), panelist at the PANEL DISCUSSION: DATA ENGINEERING SYSTEMS TO DRIVE ENTERPRISE DIGITAL TRANSFORMATION OPTIMIZATION & ENHANCED BUSINESS OUTCOMES
Topic: Building scalable data pipelines that enable Al, analytics, and automation across the enterprise
Other Panelists: Kohler, Google, Salesforce
- Expert Panel, Forbes Technology Council Contributor 2025-2026 - (Innovation)
- Expert Panel, Forbes Technology Council 2026 - (Synthetic Data Risk Modeling)
- Expert Panel, Forbes Technology Council 2026 - (Proactive Test Controls -Site Reliability)
- Enterprise Risk Quantification Institute Contributor 2026
- Intelligent Automation (IA) Forum Advisory 2025-2026
Served as a mentor to enhance data skills for underrepresented communities and professionals in data science through Correlation One's Data Science-4-All (DS4A) cohort-based training program.
Thought leadership in AI, data, and technology risk elevates credibility beyond the institution—positioning this executive as a defining voice in how the financial services industry navigates the AI era safely and sustainably.
A transformational executive who bridges the gap between advanced AI/data capabilities and robust risk governance—enabling financial institutions to innovate boldly without compromising safety, soundness, or regulatory standing.
Romans 14:19—Cross-Functional Servant Leadership
"You will only be remembered for two things: the problems you solve or the ones you create." — Dr. Mike Murdock