Our client's audit and governance functions require a centralized data leader who can architect scalable, secure, compliant data pipelines and translate complex datasets into actionable insights for regulatory and operational decisions.
Requirements
- Python, R, SQL
- Statistics & Mathematics
- Machine Learning & AI
- Data Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn
- Big Data Tools: Spark, Hadoop (for large-scale data)
- Advanced SQL and Python for analytics, ETL, and automation
- Data modeling, warehousing, and pipeline orchestration (cloudnative stack)
Responsibilities
- Data Collection & Cleaning
- Exploratory Data Analysis (EDA)
- Model Building
- Interpretation & Communication
- Deployment & Monitoring
- Build intuitive, low maintenance tools that empower nontechnical users across the PA experience
- Build and maintain artificial intelligence (AI) driven platforms/solutions
Other
- Healthcare specific background would be helpful.
- Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)
- Data security, privacy, and compliance best practices.
- Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)
- Interview: Video, three rounds of interviews
