Manager, Data Modernization & Intelligence, Deloitte Global Technology

Deloitte

$85K — $156K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Information Management, Data Science, or related field.
  • 5+ years of experience in data management, analytics, or related fields related to communications and collaboration.
  • Hands-on experience with GenAI tools and platforms, particularly in enterprise contexts.
  • Experience with implementing data governance policies within the M365 ecosystem.
  • Strong knowledge of MS Purview configuration and usage.

Responsibilities

  • Support testing, validation, and rollout of GenAI tools across collaboration workloads.
  • Evaluate AI feature interactions with enterprise data environments for compliance with data policies.
  • Execute end-to-end data lifecycle validation within M365 and related systems.
  • Collaborate with engineering and governance teams to identify and mitigate data usage risks.
  • Contribute to testing frameworks, including scenario-based validation and defect tracking.
  • Develop technical documentation and governance guidance for AI-enabled capabilities.
  • Perform technical troubleshooting for AI feature behavior and data inconsistencies.

Benefits

  • $4,000 annually for mental health support benefits.
  • $1,300 flexible benefit spending account.
  • Firm-wide closures called 'Deloitte Days'.
  • Dedicated days for learning known as Development and Innovation Days.
  • Flexible work arrangements and a hybrid work structure.
Full Job Description
6/26/26

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Job Type: Permanent Work Model: Remote Reference code: 133812 Primary Location: Toronto, ON All Available Locations: Toronto, ON; Burlington, ON; Ottawa, ON

What will your typical day look like?

The Manager, Data Modernization & Intelligence will be responsible for the operational execution of data modernization and intelligence projects within the communications and collaboration domain. This role will manage the implementation of data governance policies, oversee data analysis and reporting, and ensure the effective utilization of M365 Copilot and other GenAI tools. They will work closely with the Sr. Manager to translate strategic initiatives into actionable plans and ensure successful project delivery.

Responsibilities:
• 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.

About 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.

Enough about us, let's talk about you
• Bachelor's degree in Computer Science, Information Management, Data Science, or a related field.
• Minimum 5+ years of experience in data management, analytics, or related fields, with a focus on communications and collaboration.
• Hands-on experience with GenAI tools and platforms, including exposure to enterprise AI capabilities.
• Experience implementing data governance policies and procedures within the M365 ecosystem.
• Strong knowledge of MS Purview and its configuration.
• Experience with data analysis and reporting tools.
• Project management experience.
• Excellent communication and collaboration skills.
• Experience with M365 administration.
• 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.

Total Rewards

The salary range for this position is $85,000 - $156,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

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