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

Deloitte France; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Deloitte Global is seeking a Senior Analyst to advance GenAI enablement and data governance across multi-tenant enterprise platforms. The role focuses on testing, validating, and operationalizing AI-driven capabilities while ensuring data lifecycle standards and governance controls are followed.

You will collaborate with engineering, governance, and platform teams to align AI features with data handling, retention, and classification requirements, delivering robust data-driven solutions.

Qualifications

• Hands-on experience with GenAI tools and platforms in enterprise environments.
• Strong understanding of data lifecycle management concepts (ingestion, processing, storage, access, retention).
• Experience with data validation, testing, and quality assurance in enterprise settings.
• Knowledge of data governance, classification, sensitivity, and compliance considerations.

Responsibilities

• Test, validate, and operationalize AI-driven capabilities (GenAI) across enterprise platforms.
• Evaluate AI features with respect to data environments and governance requirements.
• Conduct end-to-end data lifecycle validation for ingestion to output behaviors.
• Collaborate with engineering, governance, and platform teams to identify risks and gaps in data usage.

Skills

GenAI tools

Data governance

Data lifecycle

QA/testing

Problem solving

Tools

Microsoft Purview

Job description

Deloitte Global is the engine of the Deloitte network. Our professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization.

Work you'll do

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.

The team

Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in what is but rather what can be to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.

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 escal...
• 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.