Joy Sarkar

AVP, Testing & Quality Engineering (Data Platforms) @Fortitude Re

Dallas, TX, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2026 — Present

AVP, Testing & Quality Engineering (Data Platforms) @Fortitude Re

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Dallas, TX, US

Driving the establishment and scaling of an enterprise-grade, AI-first Quality Engineering practice for a strategic SaaS-based data platform transformation on Palantir Foundry; Defining the QE vision, Operating model, and Governance framework to support scalable, audit-ready data platforms across the enterprise

EDUCATION

N/A

Amravati University

B.E., Electronics & Telecommunications

SKILLS

Red PrairieCross-Functional Team LeadershipTmapUser Acceptance TestingGuidewireReinsuranceHp AlmBi Etl Datawarehouse TestingRegression TestingDistributed Team ManagementHp Quality CenterRanorexStakeholder ManagementProperty & Casualty InsuranceNew Business DevelopmentTest EngineeringTest StrategySapTest PlanningRetail Category ManagementEngagement Planning, Governance and Client Relationship ManagementJdaRisk ManagementTeam ManagementWorkforce ManagementRisk Based TestingManaged Testing Services, Managed ServicesMobile Application TestingQA DirectorOffshore OutsourcingTest Process Improvement (Tpi)Testing Center of Excellece (Tcoe),Test Driven DevelopmentSoftware Quality AssuranceTeam MentoringCrm IntegrationCmmiOffshore ManagementQuality EngineeringGsm

ABOUT JOY SARKAR

As a Quality Engineering (QE) and Technology Transformation Leader, I specialize in building and scaling AI-native Quality Engineering practices, driving enterprise-scale QE modernization, and leading platform quality for cloud and data-driven ecosystems across complex, regulated environments.With a proven track record spanning global delivery and consulting for Fortune 100 enterprises in Insurance, Retail, and Telecom, I have led large-scale QA / QE transformations — establishing QE operating models, governance frameworks, and Centers of Excellence (CoEs), defining QE Operating models, while aligning quality strategy with product, engineering, and platform architecture to deliver measurable business outcomes. My focus is on embedding continuous quality, release readiness, and quality ownership across Agile Release Trains (ARTs) and product portfolios.At the intersection of AI, Data, Cloud, and Quality Engineering, I advance AI-driven QE, platform quality engineering, and automation-first delivery models to improve delivery speed, reduce risk, and ensure scalable, secure, high-performing enterprise platforms.Core Focus Areas: AI-native QE, Data & Platform Quality: AI-Driven Quality Engineering | AI-Native Testing | Generative AI Testing | AI-Assisted Test Design | Data Quality Engineering | Data Pipeline Testing | Data Validation | Data Governance | Data Lineage | Platform Quality Engineering | Palantir Foundry | SaaS & Enterprise Data Platforms Cloud, DevOps & Modern QE Practices: Cloud-native Quality Engineering | AWS, Azure QE | DevSecOps | CI/CD | Continuous Testing (CT)| Quality Gates | Release Readiness | Test Observability | Microservices Testing | QE Lifecycle Optimization | TMMi | Agile & SAFe (Scaled Agile) Leadership & Enterprise Transformation: Enterprise Quality Engineering Strategy | QE Operating Model | Quality Governance | Global QE Leadership | Transformation Programs | Executive Stakeholder Management | Cross-Functional Leadership | Quality Metrics & Reporting | Risk-Based Testing | Delivery Excellence Automation & Engineering Practices: Test Automation Strategy | Self-healing Automation | Playwright | TOSCA | Python | PyTest | Pointblank | Test Data Management | Synthetic Data (GenRocket)| Shift-Left Testing | Automation Frameworks | AI-Assisted Defect Analysis Domain Expertise: Group Insurance, Personal (Individual) Insurance & Reinsurance (P&C, Life & Specialty)| Retail (Merchandising, Store Planning and Execution, Workforce Management)| Telecom (Wireless and IP Telephony)

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