Manager, Data Analysis Discovery

Manager, Data Analysis Discovery & Requirements Language My Candidate Profile Employee login Job Description Job Alerts Link Manager, Data Analysis Discovery & Requirements Posting Start Date: 9/21/26

Job Type: Permanent
Work Model: Hybrid
Reference code: 135140
Primary Location: Toronto, ON
All Available Locations: Toronto, ON; Halifax, NS; Ottawa, ON; Saint John, NB

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.

By living our Purpose, we will make an impact that matters.

• Have many careers in one Firm.
• Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
• Learn from deep subject matter experts through mentoring and on the job coaching

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.

What will your typical day look like?

The Manager, Data Analysis Discovery & Requirements role will lead the discovery, definition, delivery, governance and adoption of data products for a key strategic initiative to establish a global data platform.

This role combines product ownership, business analysis, and data discovery expertise. The successful candidate will own business use cases from intake through implementation, partnering with business stakeholders, architects, and engineering teams to translate business needs into scalable and trusted data products.

The ideal candidate brings strong experience analyzing enterprise source systems, defining data requirements, documenting source-to-target mappings, and driving delivery of data solutions that enable business value. Key responsibilities include:

• Own the end-to-end lifecycle of Global Data Platform (GDP) use cases and data products from intake through implementation and business adoption
• Lead cross-functional delivery teams comprised of business stakeholders, data engineers, data modelers, and subject matter experts to successfully deliver data products
• Coordinate contributors from multiple business and technology teams to ensure alignment, accountability, and timely execution
• Provide day-to-day leadership, coaching, and guidance to business analysts, project contributors, and subject matter experts involved in GDP initiatives
• Translate business use cases and requests into well-defined product requirements, user stories, and acceptance criteria
• Develop and maintain Business Requirements Documents (BRDs), process flows, and business rules
• Facilitate cross-functional workshops with business and technology stakeholders to define business outcomes, KPIs, success metrics, requirements, dependencies, and delivery priorities.
• Collaborate with Product Manager to intake, triage, and prioritize requests across business domains and GDP roadmap
• Ensure delivered solutions align with GDP strategy, enterprise architecture standards, and business priorities
• Analyze business processes, data structures, data relationships, and system integrations to identify required data elements and authoritative sources
• Analyze complex datasets (SAP, Salesforce, Finance, etc.) to identify data gaps, inconsistencies, and transformation needs
• Develop and maintain source-to-target mapping documentation for data ingestion, transformation, and consumption
• Define transformation logic, calculation requirements, and data quality expectations
• Support design and implementation of scalable data products aligned with enterprise sta