Assistant Manager - RNA

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

Scope of WorkThe claims correspondence estate contains hundreds of Scriptura assets, with overlapping functionality and embedded mappings and conditions in document.xml. The tooling must parse .scd/.sro ZIP archives and Flow XML, link related assets, identify duplicate or near-duplicate templates and shared blocks, detect unused assets, and recommend consolidation or retirement opportunities.It must extract data mappings, including XPath, DSID, expressions, date formats, and source locations, along with show/hide rules, page groups, and inline conditions. Outputs must be available in business-friendly Excel or CSV formats. The solution must run locally in the browser, operate in read-only mode, and never process customer data.ResponsibilitiesParse Scriptura .scd/.sro files, Flow XML, document.xml, and referenced shared blocks.Build dependency maps across flows, forms, templates, and reusable components; identify orphaned and unused assets.Compare templates by text, structure, data fields, and conditions using similarity scoring to detect duplicates and near-duplicates.Produce rationalisation reports identifying consolidation and retirement candidates, supporting evidence, and potential business impact.Extract mappings and conditions with full traceability to source files.Translate complex rule logic into clear, business-readable descriptions.Validate results with BAs and Scriptura SMEs; ensure performance and reliability across large template estates.Document the approach and comply with security, privacy, and AI-governance requirements.Must-Have SkillsExpert XML analysis, including XPath, namespaces, attributes, text nodes, and malformed XML handling.Strong JavaScript (ES2017+) skills, including async/await, Web Workers, File/Blob APIs, and browser-based file handling.Experience processing ZIP archives and binary data using ArrayBuffer and typed arrays.Knowledge of document comparison, content normalisation, text/tree diffing, similarity measures (e.g., Jaccard, edit distance), and duplicate detection.Ability to parse complex rule logic involving AND/OR/NOT, nested expressions, and functions, and convert it into readable descriptions.Experience generating clean, de-duplicated CSV/Excel extracts with source traceability.Automated validation and browser testing experience using Playwright or similar tools.Strong communication skills to present evidence-based findings to BAs and business stakeholders.Understanding of data governance, read-only processing, and restrictions on exposing customer data to external tools or AI systems.Nice-to-Have SkillsScriptura Engage experience, including document.xml, data sources, styles, reusable objects, and bundle groups.Familiarity with CCM platforms such as OpenText Exstream or Quadient Inspire.Experience in template rationalisation, insurance/claims correspondence, and using document volumes to prioritise consolidation.Familiarity with regulated environments and formal AI-governance and software-approval processes.

Graduate or above