Senior Engagement Manager driving growth, managing key relationships in Sports & Gaming portfolio. Ensuring delivery excellence and aligning client needs with EXL’s capabilities.
About the role
- Manager leading healthcare quality initiatives through data expertise, analytics, and KPI tracking. Collaborating with cross-functional teams for performance enhancement and quality reporting.
Responsibilities
- Applied deep expertise in healthcare terminology, clinical data standards, and quality metrics (NQMs, HEDIS) to enhance quality reporting accuracy.
- Partnered with leadership to define and track KPIs, driving measurable improvements in patient safety, effectiveness, compassion, and care quality.
- Developed Python workflows (pandas, NumPy, matplotlib) to aggregate, clean, and validate multi-source healthcare data, reducing data errors and improving consistency.
- Led data quality assessments to identify anomalies and inconsistencies, strengthening the reliability of clinical datasets used in quality measure reporting.
- Created and enforced data validation rules, ensuring compliance with organizational data governance protocols and regulatory standards.
- Produced clear, actionable reports and executive summaries that informed strategic decisions and supported quality improvement initiatives.
- Partnered with data science teams to automate data transformation pipelines, accelerating data preparation and enabling faster model deployment.
- Conducted audits across multiple clinical data sources, reconciling structured SQL datasets with patient-level XML records for accurate quality measure reporting.
- Designed Tableau and Power BI dashboards that provided real-time performance insights and reduced manual reporting workload.
- Successfully managed remote projects with cross-functional teams across the U.S., delivering all milestones on schedule.
Requirements
- Requires Bachelor’s degree, in Engineering (any), Information Technology, or a directly related field plus seven (7) years of experience in Data engineering and data analytics.
- Requires six (6) years of experience in Microsoft SQL;
- Three (3) years of experience in the following: Python;
- One (1) year of experience in the following: Tableau, Power BI.
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