Senior Operations Analyst For a HITL Reviewer role AI Data

Greetings from NAVSAN! Job Title: Senior Operations Analyst for a HITL Reviewer role AI Data Extraction (Insurance & Finance) Job Location : [India / Remote] Experience : 710 years Job Summary We are looking for a detail-oriented and experienced Senior Operations Analyst for a HITL (Human-in- the-Loop) Reviewer role with a strong background in insurance claims and finance operations. The role involves reviewing, validating, and correcting AI-extracted data from documents while ensuring high levels of accuracy, consistency, and compliance. The candidate will also contribute to process improvements, SOP creation, and root cause analysis to enhance AI model performance and operational efficiency. Key Responsibilities Data Validation & Review Validate AI-extracted data from insurance claims, invoices, contracts, and financial documents Compare system outputs with source documents and identify discrepancies Correct errors and ensure completeness and accuracy of data Handle structured and unstructured data across multiple document types Quality Assurance Perform QA checks on AI outputs and annotated datasets Ensure adherence to data standards and review guidelines Maintain high consistency in data validation processes Domain-Specific Validation Review insurance and finance-related data such as: o o o Claims details, claim amounts, policy data Premiums, deductibles, billing, and invoice data Financial figures and document fields Ensure compliance with business rules and regulatory standards Process Documentation & Improvement Follow and contribute to Standard Operating Procedures (SOPs) Document workflows, requirements, and process updates Conduct root cause analysis (RCA) to identify recurring issues Suggest improvements to enhance process efficiency and AI accuracy Collaboration & Escalation Escalate complex or ambiguous cases to project leads/SMEs Provide structured feedback to AI/ML teams on model errors Support training and mentoring of junior reviewers Operational Excellence Meet defined accuracy, productivity, and turnaround time (TAT) targets Maintain quality logs, audit trails, and performance metrics Ensure compliance with data privacy and confidentiality policies Required Qualifications Bachelors degree in Finance, Business, Accounting, or related field 710 years of experience in: o o Insurance claims processing / finance operations Data validation / QA / document review roles Strong attention to detail and analytical skills Experience in reviewing and validating large volumes of data Proficiency in MS tools with the ability to analyze details in Excel Sheets Experience in SOP creation and process improvement initiatives Strong written and verbal communication skills Preferred Qualifications Experience in AI data annotation / HITL workflows Familiarity with Intelligent Document Processing (IDP) tools Key Skills Data validation & verification Quality assurance (QA) Insurance claims & financial data understanding Root cause analysis (RCA) SOP documentation Attention to detail & accuracy Critical and Analytical thinking Time management Communication & reporting Performance Metrics (KPIs) Data accuracy rate Error detection rate Productivity / throughput Turnaround time (TAT) Annotation consistency Compliance with guidelines Typical Daily Activities Review AI-processed insurance and financial documents Validate extracted data against source information Correct errors and standardize outputs Flag and escalate complex cases Track quality metrics and document errors Provide feedback to improve AI model performance Screening Focus for HR Experience in insurance or finance domain Background in data validation / QA / BPO operations Strong attention to detail and document review skills Basic Excel proficiency Ability to work with accuracy and productivity targets .