Structure the market
Built a Databricks claims-intelligence framework across 3B+ records.
Healthcare strategy
AI + operating leadership
SELECTED WORK / 02 / Doral Health & Wellness
Turn claims, utilization, geography, provider behavior, and payer economics into named accounts, referral corridors, and service-line priorities.
Business Account Executive · 2025

THE CONSTRAINT
A multispecialty organization needed to distinguish total market leakage from plausible capture. The task was to connect demand intelligence to capacity, strategic accounts, reimbursement, and field execution.
A reconstructed exhibit showing how analysis informs field priorities. No patient-level data or employer-confidential records are included.
WHAT I BUILT
Built a Databricks claims-intelligence framework across 3B+ records.
Translated leakage, procedure utilization, geography, and provider relationships into account and network strategy.
Supported negotiation and implementation of $3.2M+ value-based agreements and service-line capacity decisions.
Designed RoadL and HouseCalls growth architecture linking home-based services to health plans, ACOs, IPAs, hospitals, and provider groups.
REPORTED OPERATING OUTCOMES
THE EXECUTIVE DECISION
CEO question
What system did this work make more launchable, fundable, or scalable?
Operating answer
Claims analytics becomes valuable when it changes commercial action: which accounts to pursue, which services to launch, and where referral leakage can be captured.
Proof to inspect
The leakage signal matters because it was connected to action: claims-record context, service-line focus, provider targeting, activated patient flow, and downstream value logic.
$125.9M is modeled leakage, $22M is an estimated downstream lifetime-value opportunity, and $240K is identified savings—not realized cash. The 4,000 figure describes activated patients, not physicians.
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