Content Governance & Editorial Systems
FINRA/SEC-Aligned • FS & Retirement • Enterprise Operations
I design, implement, and operate editorial governance systems that reduce content risk, limit escalation layers, and ensure machine-assisted outputs (AI-assisted drafting, review, and publishing workflows) remain accurate, compliant, and auditable at enterprise scale.
This work often sits between content, compliance, operations, and product—but always in service of predictable outcomes.
Trusted editorial partner for Compliance, Legal, and executive leadership in high-stakes financial communications.
Scales regulated content velocity without increasing risk—using AI-enabled workflows, governance models, and disciplined controls.
Translates complex and emerging concepts (AI, digital assets, macro events) into accurate, investor-safe narratives across channels.
Reduces review friction and escalations with clarity, lifecycle alignment, and tone boundaries designed for investor protection.
Designs and operates editorial governance systems that make high-stakes content auditable, compliant, and predictable, turning communication risk into controlled, measurable outcomes..
Leads enterprise editorial operations for retirement, wealth management, and advisor communications under FINRA/SEC oversight.
FINRA Series 6 & 63
CFA Institute — Investment Foundations Certificate
NIH Plain Language Certificate
Google AI Essentials & UX Design Foundations
HubSpot — Content, Digital, Email, Inbound Marketing, SEO
Meta Marketing Analytics Foundations
Packt - GRC Certificate
ACES: The Society for Editing — Member
CASE STUDY A
Context: High-volume, regulated marketing environment supporting multiple concurrent campaigns under FINRA review.
Intervention: Implemented tiered editorial review gates, pooled resourcing, and early Compliance discovery embedded directly in intake workflows.
Outcome: Reduced escalation cycles by ~40% while sustaining near-zero error rates across concurrent FINRA-reviewed campaigns.
Pattern observed: Early risk identification reduces downstream friction more effectively than added review layers. Embedding compliance discovery at intake prevents escalation cycles later, even in high-volume, multi-campaign environments. Systems design—not individual vigilance—was the primary driver of sustained near-zero error rates.
CASE STUDY B
Context: Enterprise-scale regulatory content environment spanning retail financial services, marketing communications, international banking, corporate communications, and internal AI adoption guidelines.
Intervention: Led and operated a distributed editorial system supporting approximately 20 writers and editors; applied standardized governance controls, review workflows, and rule sets across multiple content domains and geographies.
Outcome: Sustained near-zero error rates at enterprise volume over a seven-year tenure while supporting continuous output across regulated and non-regulated channels.
Pattern observed: Distributed teams scale safely when governance is standardized and explicit. Clear rule sets, review workflows, and accountability structures allow regulated and non-regulated content to coexist without increasing error rates or review latency. Consistency outperformed customization at enterprise scale.
CASE STUDY C
Context: Multi-product financial services environment with regulated disclosures spanning approximately two dozen FINRA-reviewed products.
Intervention: Standardized disclosure triggers and language across products by embedding automated review checks and AI-assisted terminology flags embedded directly into editorial systems upstream of Compliance review.
Outcome: Reduced priority Compliance escalations and review friction while maintaining disclosure consistency and auditability at scale.
Pattern observed: Risk decreases when controls move upstream. Standardizing disclosures and embedding automated checks within editorial systems reduced compliance escalations by eliminating variability before human review. AI-assisted signals were most effective when used to enforce consistency, not generate content.
