Content Governance & Editorial Systems
FINRA/SEC-Aligned • FS & Retirement • Enterprise Operations
I design and operate enterprise DAM/CMS governance, metadata and taxonomy frameworks, and editorial control workflows that reduce content risk and increase production velocity.
Operational Experience: Enterprise DAM and CMS governance, metadata and taxonomy design, asset lifecycle and version control standards, workflow automation and human-in-the-loop QA, compliance routing and audit traceability
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.
