Data-Driven Solutions Architect for Healthcare Payment Integrity
1 week ago
We are seeking a highly skilled Data-Driven Solutions Architect to join our team of data enthusiasts in healthcare payment integrity. In this role, you will have the opportunity to work with various payers and providers, helping to reduce provider abrasion and enhance provider engagement with our innovative solutions.
Our team functions as both R&D and operational excellence teams, constantly discovering new patterns through state-of-the-art technologies. As a Data-Driven Solutions Architect, you will be responsible for designing data-driven solutions from scratch and consulting on potential solutions, storyboards, and POCs.
Key Responsibilities:
- Design descriptive and predictive analytics frameworks to meet client savings targets
- Drive business metrics that contribute to top-line growth and profitability
- Perform quantitative and qualitative analyses to derive insights
- Develop descriptive to prescriptive analytics for business monitoring and operational excellence
- Translate data insights for business stakeholders to communicate equivalent business context
- Apply next-gen technologies to all parts of the analytics lifecycle
Required Skills and Qualifications:
- 7+ years of experience in strategy and business optimization
- Post-graduate or MBA (preferred) OR a graduate degree in Engineering, Mathematics, Operations Research, Science, or Statistics
- Experience in the healthcare industry is preferred
- At least 7+ years of experience in analytics using SQL, SAS, Python, basic statistical concepts, and analyzing data to interpret results for the business
About EXL Health Payments Analytics
At EXL Health Payments Analytics Center of Excellence, we are looking for passionate individuals with a growth mindset who are ready to experiment, fail fast, learn, and contribute to our journey. We specialize in error/overpayment detection for hospital and doctor claims, generating revenue from the savings we identify for our clients on a commission or outcome basis.
Why Work with Us?
- Massive Data Assets: Millions of structured data records and thousands of unstructured records processed monthly
- Tech Investment: On-prem GPUs, Azure, AWS, Databricks, and On-prem Hadoop-Hive environments
- Leadership Push: Strong focus on digitization, data-led decision-making, and AI
Estimated Salary Range: $120,000 - $180,000 per year
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