Job Description
Design and implement the foundational data model for a quality intelligence network
Build and maintain core tables for requirements, controls, metrics, artifacts, issues, and results
Normalize fragmented inputs into repeatable, reusable structures
Create logic to propagate requirements into reporting, policy, and operational outputs with defined verification steps
Build auditable data flows that reduce manual reconciliation and recurring spreadsheet work
Deliver outputs such as requirement inventories, quality heatmaps, traceability views, and issue intelligence reporting
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Strong SQL and Python
Data modeling and table design for complex operational environments
Experience working with inconsistent or manually maintained data
Ability to convert language-based requirements into structured logic
Experience supporting reporting, compliance, audit, or regulated operations
Ability to work independently in high-ambiguity environments
Nice to Have Skills & Experience
Certified Data Management Professional (CDMP)
Microsoft Certified: Azure Data Scientist / Data Engineer
AWS Certified Data Engineer or Data Analytics
Healthcare, PBM, PA, Appeals, or pharmacy operations experience
Experience with regulatory (CMS, NCQA, URAC, ERISA, state DOI), policy, or audit data
Experience building self-service tools and reusable data assets
Ability to design for governance, traceability, and audit defensibility
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.