Data · Applications · AI-Accelerated Delivery
Technology built for real-world use.
I build and modernize data products, workflow applications, forecasting tools, and operational software—and create the delivery paths that turn them into everyday practice.
Jonathan “Jono” Schulein · Charlotte, NC · Open to relocation
About
From ambiguity to working technology.
I work across data, applications, AI-assisted software development, and delivery, translating ambiguous operational problems into tools that people can use, trust, and sustain.
My experience includes modernizing a machine-learning application, automating data pipelines, building executive analytics, developing clinician-facing workflow tools, and leading readiness for a national service transition.
I currently work at a large government consulting firm, where for eight-plus years I have supported complex healthcare and public-health environments. I often operate at the intersection of technical execution, stakeholder needs, and implementation—determining not only what should be built, but what it will take for the solution to succeed in practice.
Capabilities
Technical range, anchored in delivery.
I am most useful where a problem crosses boundaries: data and operations, software and users, technical implementation and organizational change.
Data & modeling
- Python, pandas & SQL
- Power BI & Tableau
- Forecasting & Monte Carlo simulation
- Data quality, automation & analysis
Applications & AI
- ML application modernization
- Python, Flask & JavaScript workflows
- AI-assisted software development
- Power Apps, SharePoint & Microsoft Lists
Release & delivery
- Containerized & local deployment
- UAT, regression & workflow testing
- Release readiness & packaging
- Documentation for non-technical users
Product & operations
- Stakeholder discovery & executive engagement
- Business process analysis & improvement
- Change management & implementation
- Alternatives analysis & decision support
Selected work
Projects carried from analysis into daily use.
Four examples of taking complex work through discovery, technical execution, validation, and real-world use.
TowerScout: from research prototype to release-ready
Modernized a computer-vision research application into a package-based local application path designed for non-technical pilot users.
- Challenge
- TowerScout identifies cooling towers in aerial imagery to support state and local Legionnaires' disease outbreak investigators. It began as a successful research project — and as interest in the tool grew, the setup time and technical comfort it required became the main barrier for new users.
- Contribution
- I led the modernization workstream, using AI-assisted development under structured human review to map the inherited codebase, plan and implement fixes, and validate behavior. Building on the original team's foundation, I resolved 90% of the major workflow issues surfaced in user-journey testing, replaced routine configuration-file editing with guided first-launch setup, and refined how search areas were tracked so processing behavior consistently matched what users drew on the map.
- Result
- Delivered and validated a Windows pilot path with containerized runtime support, readiness checks, checksum-verified assets, plain-language documentation, and UAT criteria for non-technical testers. The application is now in user testing.
988: forecasting a national crisis line's biggest change
Built the forecasting foundation and helped lead the operational readiness work behind a high-visibility national service transition.
- Challenge
- A national crisis line needed to understand how a new three-digit number could change contact volume because staffing, technology support, and operational readiness all depended on the answer.
- Contribution
- Working within the program management team, I designed and built the Monte Carlo simulation behind the volume projections, incorporating growth trends, market saturation, and international precedent. I presented the methodology to senior executive leadership, earned approval for the planning assumptions, led cross-functional readiness workstreams, and developed the alternatives analysis for text and chat operations.
- Result
- The projections anchored staffing and readiness planning, 988 went live on schedule in July 2022, and the client's assessment was that the organization had been over-prepared rather than underprepared.
Clinical and operational tools built into the workday
Created analytics and workflow tools that helped clinicians, hospital leaders, and innovation teams make decisions inside the systems they already used.
- Challenge
- Three separate program offices in the same healthcare system faced versions of the same problem: critical knowledge and operational data locked in formats that didn't match how people actually worked — long-form guidance documents, legacy reporting, and manual review processes.
- Contribution
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Clinical guidance & decision supportFor a specialty-care office, I transformed long-form clinical guidance into an interactive SharePoint knowledge base clinicians can consult mid-visit, then built the Power Apps decision-support and asynchronous voting tools that formalized how the subject-matter-expert group reviews research and drafts recommendations.
Quality & operational reportingFor a regional Quality Management Office, our team replaced legacy dashboards with near-real-time Power BI reporting; I led the reports giving hospital leadership a live view of quality performance and document-review bottlenecks.
Innovation governanceFor the system's innovation office, I maintained the project portfolio dashboard and developed ad-hoc views to support governance decisions across a multi-million-dollar portfolio.
- Result
- All three toolsets entered production use: the research process now underpins two additional peer-reviewed guidance papers, hospital leadership gained live quality visibility, and the portfolio dashboard supported a functioning governance model — with direct written praise from the clinician team.
Data-driven modernization at national scale
Turned fragmented operational data and local practices into decision-ready analysis, automation, dashboards, and a repeatable regional transition model.
- Challenge
- A national healthcare system set out to modernize operations across 170+ medical centers — without a consistent view of maturity or performance, with recurring reporting that consumed days of manual effort, and with regions operating on fundamentally different practices.
- Contribution
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Baseline & analysisServing as the data lead across several team engagements, I led analysis of a 450+ respondent field survey, converting qualitative responses into weighted maturity scoring across nine core elements for executive-level review.
Automation & reportingI automated recurring performance reporting with Python and built the Tableau dashboards used during COVID-19 operations, briefed weekly to the department's most senior leadership.
Regional consolidationI later project-managed one region's consolidation across eight historically siloed medical centers as they adopted a new enterprise platform — sequencing site transitions and mitigating risks before they became incidents.
- Result
- The survey gave executives their first system-wide maturity view; automation reduced a 6–8 hour process to minutes; and all eight sites transitioned successfully — with the consolidation artifacts reused as a template by other regions and held up as a case study for the wider initiative.
Approach
How I move ambiguous work into production.
The projects change—a crisis line, a hospital network, a public-health application—but the operating principles stay consistent.
01
Discovery before delivery
Every legacy system has a folklore layer: decisions that once made sense for reasons nobody documented. I start by comparing what actually happens with what the documentation claims—whether that means synthesizing 80+ staff interviews or tracing execution paths through an inherited codebase. The goal is a prioritized backlog small enough to execute well.
02
Right-size the tool
The best solution is one the organization can use and sustain. The 988 model lived in Excel because executives needed to interrogate it. Repetitive reporting moved to Python because manual processing consumed a workday. Clinician workflows used the Microsoft tools clinicians already worked in every day — familiarity I could build on to tailor solutions the client could confidently manage after handoff. TowerScout required containers, packaging, and readiness checks because a research workflow would not survive contact with non-technical users.
03
Adoption is the finish line
A tool that ships but is not used is still unfinished. I treat the last mile as part of the product: plain-language guides, workflow-based testing, support-friendly diagnostics, and handoff materials written for the person who will own the solution. Walking the full user journey often reveals the failures that isolated technical tests miss.
04
AI-accelerated, human-accountable
I use AI coding tools daily for codebase discovery, task planning, drafting, test scaffolding, and first-pass diagnosis. They accelerate the work; they do not inherit the responsibility. User-visible behavior, configuration, and releases still pass through human review and structured testing. My rule is simple: I ship nothing I cannot explain, defend, and debug without the AI in the room.
Recognition
Trusted with the hard, ambiguous work.
Recognized through multiple performance and team awards spanning simulation modeling, analytics, clinical workflow tools, and application modernization.
“Gratitude to Jono for continuously going above and beyond in his thoughtful, generalizable and impactful Decision Support Tool creation, so that future teams will be empowered.”
— Client clinician team
“When we met with the client they were crystal clear that maintaining [the firm] meant maintaining Jono. That is a very strong testament to the quality of work he has been delivering.”
— Program Manager, consulting firm
“His ability to take high-level visions and transform them into thoughtful, high-quality deliverables made him one of the most valuable members of a very talented team.”
— Project colleague, consulting firm