About Me

Senior individual contributor specializing in regulated communications and editorial systems within financial services and retirement organizations. I design content frameworks and governance models that improve comprehension, reduce risk, and support digital adoption at scale.

My experience spans enterprise editorial operations, advisor enablement, content lifecycle management, and knowledge taxonomy. I’ve led high-volume environments with near-zero error rates and implemented workflows that improve throughput and protect brands under regulatory oversight.

For roles or projects where clarity, governance, and accuracy are nonnegotiable, I help teams reduce risk and operate with confidence.

I design and operate editorial governance systems for regulated financial services environments where content is a risk surface, not a marketing artifact.

My approach is pragmatic and execution-focused:

• Reduce escalation cycles without weakening controls

• Move compliance upstream into intake, tooling, and language systems

• Separate judgment from throughput by standardizing what can be standardized

• Preserve human review where it matters and eliminate it where it doesn’t

I don't treat governance as policy theater. I treat it as infrastructure.

That means:

• Clear review gates and disclosure triggers

• Defined ownership and accountability across content lifecycles

• Systems that scale without increasing error rates or dependency on heroics

• Controls that support speed, not block it

I’ve led high-volume, FINRA-reviewed environments with sustained near-zero error rates by focusing on systems design, not individual performance.

If your organization operates under regulatory scrutiny and content volume is increasing, the problem is rarely talent. It’s usually structure.

That’s the work I specialize in.

I use AI within clearly defined governance boundaries, aligned to regulated financial-services environments. AI functions as a decision-support layer. I use it to analyze language risk, test assumptions, and surface compliance edge cases before content reaches clients, advisors, or regulators.

All AI-assisted workflows are designed with explicit stop points, human review requirements, and documented accountability. Regulated, fiduciary, or investor-facing content always requires human sign-off. The focus is consistency, auditability, and risk reduction—not speed for its own sake. 

Used this way, AI strengthens compliance discipline and content quality without introducing unmanaged risk.