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Strong employer brand, mid-level generalist title, metro location, and 3-6 years expectation increase candidate competition.
Regulatory MLR, pharma compliance, and audit-focused validation create high industry-specific fit sensitivity.
Moderate filters from explicit years, regulated/pharma experience, AI validation and UAT requirements tighten shortlisting.
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Own backlog maturation and prioritization for AI-enabled content review automation within MLR processes.
Translate regulatory and business requirements into detailed user stories with clear acceptance criteria and validation approaches.
Collaborate closely with AI/data science and engineering teams to ensure feasibility, support UAT, and maintain audit-compliant documentation and traceability.
Bachelor's degree required; Master's degree preferred.
4–5+ years experience as a Business Analyst, Product Analyst, or Systems Analyst in regulated or workflow-intensive domains.
Experience working in Agile/Scrum environments with cross-functional teams.
Strong capability in writing clear functional requirements and user stories supporting regulatory compliance and AI-enabled workflows.
Experience with Pharma MLR processes or regulated content review workflows.
Ability to align AI/ML technical feasibility with business and compliance needs, supporting validation and iterative improvements.
Comfort working in geographically distributed teams with proficiency in tools like JIRA and Confluence for documentation and traceability.