Nickolaus Stutzman

Product Owner, Provider Data Management @Molina Healthcare

Boise, ID, US
MOBILE NUMBERS
+12•••••••86

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WORK HISTORY

Oct 2025 — Present

Product Owner, Provider Data Management @Molina Healthcare

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Own product strategy and delivery for multi-state provider data initiatives, establishing a single source of truth across enterprise systems • Lead end-to-end execution of provider data ingestion, normalization, matching, and reconciliation workflows across platforms including QNXT • Translate regulatory, operational, and business requirements into epics, features, and acceptance criteria, managing backlog prioritization and cross-team dependencies • Partner closely with engineering, QA, and health plan operations to deliver accurate, auditable provider data at scale • Drive data quality improvements through similarity scoring, deduplication logic, fallout analysis, and hands-on SQL validation

EDUCATION

N/A

University of Idaho

Bachelor's of Science Business, Production/Operations Management, Information Systems

N/A

University of Idaho

Masters of Science, Statistical Science

SKILLS

Forward Pricing Agreement NegotiationSharepointOutlookOniqua Analytics SolutionsProject ManagementData AnalysisManagementMaintenance PlanningMineral ProcessingSupply ChainSupply Chain ManagementAccounts ReceivableStatistical Data AnalysisMs ProjectDemand Supply PlanningVb.netHuman ResourcesMaterials ManagementBudgetingMicrosoft OfficeAnalysisMicrosoft AccessData MiningSourcingRecruitingSap ProductsSap Warehouse ManagementVirtual PcOracle ApplicationsProcess ImprovementProcurment of Capital EquipmentBusiness Process ImprovementRInventory ManagementC ++Microsoft ExcelPowerpointWeb DesignAccounts PayableVisual Studio

ABOUT NICKOLAUS STUTZMAN

Product Owner with deep experience in data science and data engineering, focused on building and scaling data and analytics platforms. Hands-on background across data ingestion, pipeline design, modeling, analytics, and predictive workflows, enabling strong partnership with engineering and data science teams and informed product decision-making.

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