Jonathan Nellson
Strategic Systems Architect · AI-Driven Operations Leader
Jonathan helps organizations do the harder, more valuable work upstream of AI: defining intent, structuring knowledge, clarifying workflows, and building governance so intelligent systems actually operate reliably in the real world. His work spans enterprise healthcare operations, AI orchestration platforms, educational program design, and hardware-level builds — all unified by the same discipline: treat AI as a system, not a magic layer.
Rather than installing tools and hoping, he helps clients decide what knowledge to persist, what work to delegate to agents, how to separate planning from execution, and how to monitor whether an AI-driven process is actually producing outcomes after launch.
Strategic and technical at the same time — that's what lets him translate messy business intent into something agents can actually work from.
At a Glance
- Principal, Nellson Associates
- Founder, Jexida
- Platform Co-Creator, Dynamic Discoveries
- Sr. Manager, Healthcare Data Operations
- 13+ years in data & systems (since 2013)
- 10+ years in healthcare data ops & PA configuration
Education
- Boston University · Database Engineering & Business Intelligence (2012–2013)
- University of South Florida · BA, Communications (2006–2008)
Connect
Executive & Enterprise Leadership
As a Senior Manager in healthcare data operations, Jonathan's team validates client configuration requests against CMS regulations and Medicare Part D prior-authorization rules before they reach production. The team's automation supports all lines of business, not just Med D. Day-to-day work includes:
- Pre-production validation of configuration against CMS regulations and Medicare Part D rules
- Configuration management for prior-authorization systems
- PBM data architecture and metadata governance
- Internal client support during plan setup and comparative configuration analysis
- Workflow automation across all lines of business
- Cross-functional coordination across configuration, IT, and operations teams
He turns fragmented validation work into structured, audited systems. Tools like a PA configuration management system make that possible at scale — centralized rules, automated checks, fewer manual handoffs.
“What makes Jon stand apart from other leaders is the ability to do both — complete highly complex reporting/technical efforts and develop teams of people. Both of those skills blended together is what helps Jon get things done in enterprise settings.”
AI & Automation Architect
Jonathan is not simply "using AI." He is building AI-native infrastructure. He is actively developing:
- A Django-based knowledge and orchestration platform
- Multi-model routing across Azure OpenAI, Gemini, Claude, and local LLMs
- Vector-embedded knowledge hubs with pgvector
- Agent-based goal hierarchies (OODA-style loops)
- Discord-integrated AI monitoring and digest systems
- Cost-aware model escalation strategies
- Structured governance for AI-augmented development workflows
He thinks in layers — models, routing, memory, governance, cost.
Systems Thinking & Infrastructure Engineering
His technical range spans both deep enterprise foundations and modern AI-native infrastructure:
Enterprise systems & data
- Enterprise SQL Server architecture, T-SQL, stored-procedure systems, and data warehousing
- Configuration management at enterprise scale (PBM operations, healthcare data, regulated workflows)
- Systems automation and workflow validation for Fortune 50 organizations
- Healthcare data integration, metadata governance, and large-scale validation pipelines
- Migration of legacy enterprise systems to modern web architectures
Modern stack & infrastructure
- Full-stack Django (HTMX, MSSQL, Azure App Service, containerized deployments)
- AI-augmented development workflows and CI/CD pipeline design
- Domain modeling and security planning (PCI compliance, OAuth validation, webhook idempotency)
- Hardware builds (custom keyboards, GPU servers, distributed node networks)
- Off-grid power systems (solar/battery), mesh networking, and local GPU inference clusters
He approaches everything — from an enterprise data platform to a camper trailer — with the same engineering mindset: design for resilience, design for clarity, design for scale.
Entrepreneurial Builder
Through Nellson Associates, Jonathan is building a multi-brand ecosystem:
Jexida
AI infrastructure, MCP services, and second-brain platform
Dynamic Discoveries
STEAM curriculum, after-school programs, and micro-school design
Entity structures, compliance pathways, service-tier models — he builds expandable platforms, not static businesses.
How Jonathan Works
Jonathan helps organizations map where AI belongs, where it doesn't, and what supporting structure has to exist — clear roles, documented workflows, persistent knowledge, real governance — before automation can deliver value.
He is not brought in to advise on AI. He is brought in to organize the business so intelligent systems can actually work inside it.
Family Legacy
So, You Want To Be A Consultant
by Robert L. Nellson — Jonathan's father and the founder of Nellson Associates
The practical guide my father wrote from three decades of independent consulting experience. Every engagement we take on today is grounded in the standards and the client-first ethos he established. The 2026 edition is freely available to read.
Work With Jonathan
AI readiness, agent and automation architecture, knowledge & memory design, governance and validation, and the business-to-technology translation that ties it all together.