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Location
In office (Gurgaon)

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 7, 2026. EXL scores B on the Alion truth index.

Overview
Company
Impact
Profile match

EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.

Own the requirements-to-acceptance chain for the Entity Hub. This is a combined role: define what “correct” means for entity resolution and graph outputs, then prove it through structured testing. The position is pivotal because milestone payments are released against acceptance criteria - this role writes them, traces them and validates against them.

  • Requirements & traceability - elicit, document and baseline functional and data requirements across ingestion, canonical model, entity resolution and graph serving; maintain a Requirement Traceability Matrix (RTM) from requirement through to test evidence.
  • Acceptance criteria ownership - translate SOW stage acceptance criteria into testable, measurable conditions; secure WK agreement on match-quality measures (precision/recall) and NLQ scenarios before build begins.
  • Test strategy & planning - define the overall test strategy, quality gates, entry/exit criteria and test data approach for each milestone.
  • Data quality validation - design and execute tests for data completeness, accuracy, transformation logic, standardization rules and identifier-spine integrity across all six sources.
  • Entity resolution validation - build and curate labelled/golden validation samples; evaluate match precision, recall and false-positive rates; validate clustering and Golden Record survivorship logic.
  • Graph validation - test node and edge accuracy, source traceability, and multi-hop traversal scenarios against expected paths.
  • Human-in-the-loop coordination - operate and coordinate the SME review workflow, manage the review queue, capture reviewer decisions and feed them back as training/tuning input.
  • Defect management - log, triage and track defects with reproducible steps; drive root-cause analysis on data discrepancies; maintain severity classification and closure evidence.
  • UAT & sign-off - plan and coordinate user acceptance testing with WK SMEs; assemble milestone acceptance packs and secure written sign-off within the agreed review window.

Required Skills & Experience

Skill Area

Specific Requirements

Business Analysis

Requirements elicitation, user stories, functional specifications, RTM, data dictionaries, source-to-target mapping documentation

QA / Testing

Test strategy, test planning, test case design, regression suites, UAT coordination, defect lifecycle management

Data Testing

Advanced SQL for reconciliation, source-to-target validation, aggregation and business-rule testing, data integrity and constraint checks

Platform

Microsoft Fabric (Lakehouse, Delta tables, pipelines), OneLake, SQL analytics endpoints

Domain (advantageous)

Entity/master data concepts, match precision & recall, data quality dimensions, corporate hierarchy and ownership data

Tools

Test management platforms (QTest/Jira/ADO), Excel, Postman for API validation, Power BI for validation reporting

Soft Skills

Client-facing communication, stakeholder facilitation, precision in written acceptance language, structured escalation

  • 6+ years combined Business Analysis and QA experience on data platform or data warehouse programmes
  • Demonstrable experience writing acceptance criteria that were used for formal client sign-off
  • Strong SQL - able to independently write reconciliation and validation queries
  • Experience maintaining a Requirement Traceability Matrix on a regulated or enterprise client engagement
  • Experience coordinating UAT with external client stakeholders

Nice-to-Have

  • Exposure to entity resolution, MDM or data-matching projects
  • Familiarity with Microsoft Fabric or Azure data services
  • Understanding of graph data structures (nodes, edges, traversal)
  • Experience with statistical quality measures (precision, recall, F1)

Key Deliverables Owned

  • Requirement Traceability Matrix (RTM)
  • Test Strategy, Test Plans, Test Scenarios and Test Cases
  • Entity resolution evaluation results and match-quality reports
  • Node/edge accuracy validation evidence
  • Defect log, RCA reports and closure evidence
  • UAT sign-off and milestone acceptance packs

Dual Role / Complementary Skills

This is already a deliberate dual role (BA + QA). The pairing is intentional: the person who defines acceptance criteria is best placed to test against them, creating a tight traceability loop and removing hand-off ambiguity. Complementary overflow: this role can absorb a portion of project-coordination and documentation work alongside the Project Manager (who is at 75% FTE).

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