Senior Analyst - Data Modernization & Intelligence (GenAI & Data Lifecycle Focus): This role sits at the intersection of GenAI enablement, data governance, and enterprise M365 platform delivery, supporting global, multi-tenant deployments. The Senior Analyst is responsible for testing, validating, and operationalizing AI-driven capabilities (Microsoft 365 Copilot, Gemini Enterprise, Claude) while ensuring alignment with data lifecycle management standards and governance controls. • Support the testing, validation, and rollout of GenAI capabilities, including Microsoft 365 Copilot, Gemini, and Claude, and related features across collaboration workloads. • Evaluate how AI features interact with enterprise data environments, ensuring alignment with data handling, retention, and classification requirements. • Execute end-to-end data lifecycle validation, including data ingestion, transformation, storage, access, and output behaviors within M365 and connected systems. • Partner with engineering, governance, and platform teams to identify risks, gaps, and inconsistencies in data usage across AI-enabled scenarios. • Contribute to controlled testing frameworks, including scenario-based validation, defect tracking, and repeatable test design. • Support the development of technical documentation, SOPs, and governance-aligned guidance for AI-enabled capabilities. • Provide technical troubleshooting and analysis for issues related to AI feature behavior, data inconsistencies, and platform integration. • Perform targeted analysis and reporting to support decision-making, with emphasis on data integrity and trend validation rather than standalone reporting deliverables. Qualifications • Hands-on experience with GenAI tools and platforms, including exposure to enterprise AI capabilities. • Strong understanding of data lifecycle management concepts, including data ingestion, processing, storage, access, and retention. • Experience with data validation, testing, and quality assurance in enterprise environments. • Working knowledge of data governance concepts, including classification, sensitivity, and compliance considerations. • Ability to analyze AI-driven outputs and system behaviors, identify inconsistencies, and escalate findings clearly. • Experience supporting controlled testing, defect management, and issue tracking workflows. • Strong problem-solving skills with the ability to operate in ambiguous, evolving technology environments. Preferred/Nice-to-Have • Experience with Microsoft Purview (data governance, compliance, or information protection capabilities). • Exposure to multi-tenant or global enterprise environments. • Experience supporting AI/ML feature rollout, testing, or evaluation at scale. • Scripting or automation experience to support testing or validation workflows. • Familiarity with emerging AI tooling (prompt-based systems, AI agents, evaluation frameworks, etc.). • Experience translating technical findings into clear, governance-aligned documentation or guidance. Limited immigration sponsorship may be available. Requisition code: 368418 Job ID 368418