About
Senior operator. Systems thinker.
Not just a writer.
I design enterprise knowledge architectures that make information usable at scale — for humans and for AI. My work sits at the intersection of content strategy, information systems, and organizational change, at the level where those decisions have real operational and business consequences.
What I do
Most organizations treat knowledge as a writing problem. They hire writers, produce documents, and wonder why employees still can't find the right answer, why AI tools return inconsistent results, and why every organizational change forces a content rebuild.
The problem is almost never the writing. It is the absence of architecture — no content model, no taxonomy, no governance layer, no structure that tells the organization how knowledge should be created, maintained, connected, and retired.
I design those systems. I partner with Directors, VPs, and Heads of Knowledge, Operations, and Product to define the architecture before anyone writes a word. The writing that follows is better, faster, and more durable because the system was built first.
Operating level and background
At Capital One, I lead enterprise knowledge communication strategy for Technology and Enterprise Operations, designing scalable content systems that serve more than 11,000 employees across a post-merger environment. I built AI-assisted content pipelines that reduced communication delivery time by 25%, introduced structured content architecture and metadata frameworks, and partnered directly with product, engineering, and governance teams to ensure content is discoverable, reusable, and aligned to business performance.
My background spans enterprise financial services, large-scale technology organizations, regulated content environments, and cross-functional knowledge transformation programs. I have worked at the intersection of content strategy, information architecture, AI fluency, and organizational change at scales where the cost of getting it wrong is measurable.
Areas of deep expertise
Knowledge Architecture
Taxonomy design, metadata schema, content models, governance frameworks, and lifecycle management for enterprise-scale knowledge systems.
AI Fluency & Content Systems
Structuring content for reliable LLM and RAG retrieval. Building the information infrastructure that makes enterprise AI tools actually work.
Content Architecture
Stateless content design, modular authoring models, reusable component systems, and multi-channel delivery architecture.
Legacy Modernization
Transforming years of scattered documentation, tribal knowledge, and outdated formats into structured, searchable, durable content systems.
Organizational Change
Change management for knowledge transformation programs, stakeholder alignment, cross-functional coordination, and communication strategy.
Governance & Oversight
Designing content governance that enforces quality and accuracy standards without creating bottlenecks or slowing down operational teams.
Thought leadership
I developed Stateless Knowledge Architecture (SKA), an original 28-section technical framework for designing enterprise knowledge systems as composable, typed, independently governed content fragments. The framework addresses the structural problems that cause most enterprise knowledge systems to fail: content duplication, taxonomy absence, static delivery, and poor AI retrieval performance.
The full reference architecture is published on this site and is freely available as a professional resource for knowledge architects, content strategists, and enterprise AI teams.
Read the SKA Framework →