I work at the intersection of client trust, operational rigor, and financial performance. Across 15+ years in US healthcare operations, Medicare Advantage, ACA Risk Adjustment, project delivery, product ownership, analytics, and AI-enabled workflows, I've been trusted to bring structure to high-stakes environments where accuracy, speed, and alignment matter at the same time.
I use reporting logic, prioritization frameworks, dashboards, and forecasting to show what matters, what is waste, and where teams should focus first.
My strongest work happens in high-friction environments where the stakes are real: revenue, compliance, coding quality, client confidence, and execution discipline all move together. I bring together operational context, data logic, stakeholder alignment, and delivery rigor so that complex systems become clearer, faster, and more dependable.
I operate as a hybrid leader: part client-facing implementation owner, part systems thinker, part delivery operator, and part Risk Adjustment subject matter expert. I'm especially effective in process-heavy healthcare environments where speed alone is not enough and where coding, compliance, denial prevention, and payment accuracy have direct business consequences.
The arc matters. I started close to execution, moved through quality and project management, then into product ownership and data account leadership. That means I understand the workflow on the ground, the reporting layer above it, and the strategic expectations sitting on top of both.
Led AI-enabled workflow design, analytics visibility, automation tooling, stakeholder-facing delivery, and client-facing data implementations across healthcare data operations. Built the connective layer between client expectations, internal execution, and measurable delivery performance.
Owned backlog prioritization, requirements shaping, workflow implementation, and product delivery for operational tools. Focused development effort on highest-value functionality tied to real client and team needs.
Managed project scope, timelines, cost control, checkpoints, and risk planning across healthcare operations. Built methodologies that reduced delays and made delivery status more legible to leadership.
Built the operational instincts that still shape my work today: quality control, service delivery, root-cause analysis, training, team calibration, and direct exposure to where process breakdowns actually occur.
These are the most recruiter-useful stories from my background. Each one demonstrates a repeatable pattern: identify hidden economics, reduce translation loss, redesign the system, and prove the value with real outcomes.
I audited six months of requests, grouped them by functional impact and manual effort saved, and interviewed ten departments to find which items were truly worth technical investment.
I rebuilt reconciliation visibility using Power BI, removed slow communication layers, and updated commercial terms so late payment behavior had consequences across a multi-million-dollar claims-processing environment.
I challenged a long-standing calling-hours assumption, ran a pilot, and proved that a "forbidden" time block performed just as well as standard hours.
I combined ignored operational reports, historical patterns, anomalies, and external variables into forecasting logic that predicted slippage before it showed up in normal status reporting.
Want the broader story set? Search across the rest of the examples, including QA transformation, portal recovery, implementation design, vendor auditing, and more.
I helped build a Data Project Implementation function and introduced a six-page implementation document with both client and internal sign-off before delivery began.
While reviewing vendor invoices, I found charges tied to failed automation output and later identified a full engine outage that would have triggered widespread eligibility failures.
I built tracking around recurring error clusters and turned that insight into targeted documents, workshops, and refreshers so teams could fix the source of mistakes.
I audited every Jira ticket and requirement from the start, found broken sub-category mapping and data lag, and introduced stop-gap automation plus a mandatory sync before reports.
I standardized how improvements were valued across error reduction, documentation, and process change so leaders could see the real dollars behind performance shifts.
I shifted the performance strategy from raw volume to milestone-critical outcomes, isolated bottleneck providers, built a targeted task force, and negotiated directly to accelerate record collection.
I documented current-state workflows, ranked tasks by criticality and frequency, wrote BRDs, and validated output against real user needs rather than technical assumptions.
I lead through ambiguity, create structure around cross-functional execution, and keep teams aligned on what matters commercially and operationally.
I use data logic to improve visibility, prioritize correctly, and convert fuzzy requests into decision-ready systems and requirements.
I connect AI, automation, and lightweight tooling to real healthcare workflows where accuracy, compliance, coding quality, denial prevention, billing visibility, and throughput all matter at once.
22 tools across CRM, operations, food, health, learning & more — each one solves a real business problem.
This site is designed to show how I think, where I create leverage, and the kinds of outcomes I've delivered across healthcare operations, data, Risk Adjustment, claims processing, and client-facing execution.