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Data Sciences Advisor
Gainwell Technologies. Act as Product Owner, Delivery Lead, and Implementation Manager for complex data mining and analytics initiatives .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Healthcare Payment Integrity and Advanced Analytics, with a strong focus on AI and machine learning applications for data mining and payment accuracy. Proven ability to translate complex healthcare regulations into actionable analytics solutions while leading cross-functional teams to successful project delivery.
Highest-signal resume keywords
Healthcare Payment IntegrityData MiningAI/ML-Driven AnalyticsClaims AnalyticsRegulatory Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data MiningAdvanced AnalyticsPredictive ModelingAnomaly DetectionPattern RecognitionNatural Language ProcessingClaims Data ValidationPayment Accuracy AnalysisAudit Algorithm DesignAnalytic Rule Development
Soft Skills
Strategic LeadershipCross-Functional CollaborationClient EngagementTechnical CommunicationImplementation Management
Industry Keywords
Healthcare RegulationsReimbursement MethodologiesCMS RegulationsState/Federal GuidelinesCoding Standards
About the role
Key responsibilities & impact- Act as Product Owner, Delivery Lead, and Implementation Manager for complex data mining and analytics initiatives
- Design, develop, and implement advanced data mining and AI-driven analytics concepts to identify overpayments and improper payments
- Support and lead responses to client RFPs, contributing written content related to data mining, AI, and payment integrity capabilities
- Translate healthcare regulations, reimbursement methodologies, and clinical policies into scalable audit algorithms and analytic rules
- Lead the incorporation of AI, machine learning, and advanced analytics techniques into payment integrity solutions
- Provide strategic and technical leadership in designing, implementing, and scaling advanced data mining and AI-enabled analytics solutions
- Guide cross-functional teams through complex implementations and ensure successful delivery of payment integrity solutions
- Partner with engineering, clinical, operations, and client teams to safeguard healthcare resources
Requirements
What you’ll need- 7+ years of Healthcare Payment Integrity, Data Mining, or Advanced Analytics experience
- Demonstrated experience in healthcare payment integrity data mining, including validation of claims data accuracy and payment accuracy
- Proven experience applying CMS regulations, State/Federal guidelines, coding standards, and reimbursement policies to claims analytics
- Strong experience translating business and policy requirements into technical and analytical solutions
- Hands-on experience with AI/ML-driven analytics, such as predictive modeling, anomaly detection, pattern recognition, or NLP applied to healthcare or financial data
- Video cameras must be used during all interviews and during the initial week of orientation
Benefits
Comp & perks- Work flexibility
- Learning and career development
- Technical credentials and certifications
- Generous, flexible vacation policy
- Educational assistance
- Leadership and technical development academies
- Occasional travel opportunities (0-10%)
- 401(k) employer match
- Comprehensive health benefits