Senior Analyst, Data Modernization & Intelligence (GenAI & Data Lifecycle Focus)

About the role

This role sits at the intersection of GenAI enablement, data governance, and enterprise M365 platform delivery, supporting global, multi-tenant deployments.

Responsibilities

• Test, validate, and operationalize 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.

Requirements

• 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.

Qualifications

• 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.

Benefits

At Deloitte, we value our people and offer employees a broad range of benefits. Our Total Rewards program reflects our continued commitment to lead from the front in everything we do—that's why we take pride in offering a comprehensive variety of programs and resources to support your health and well-being.