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Key Responsibilities
Requirement Discovery & Solutioning: Drive requirement gathering, analysis, and functional design for healthcare data and analytics platforms.
Healthcare Analytics Use Cases: Define and enable solutions for Population Health, Quality of Care, Patient Engagement, and other key analytical initiatives.
Healthcare Data Models: Work with industry-standard healthcare data models to design and align KPIs for advanced analytics.
ML & KPI Integration: Collaborate with data science and engineering teams to drive functional solutioning for ML model deployment and KPI-driven data processing.
Predictive Use Cases: Contribute to solutions for readmission prediction, chronic disease onset detection, utilization management, and other healthcare analytics scenarios.
Stakeholder Collaboration: Act as the domain expert bridging business, clinical, and technical teams to ensure successful solution delivery.
Key Skills & Experience
8+ years of experience as a Healthcare SME with focus on data and analytics platforms.
Strong expertise in Population Health, Quality of Care, and Patient Engagement use cases.
Deep understanding of healthcare data models and KPI-driven solutioning.
Familiarity with healthcare predictive analytics and ML integration.
Strong knowledge of regulatory, compliance, and quality reporting requirements in healthcare.
Excellent stakeholder engagement, communication, and documentation skills.
Why Join Us?
Shape transformative healthcare analytics solutions that improve patient outcomes.
Work closely with cutting-edge data science and engineering teams.
Opportunity to lead high-impact healthcare predictive analytics initiatives.
Competitive salary, benefits, and career progression opportunities.
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