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Added 2 mins ago
Senior Business Analyst, Regional Epic
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Media Coordinator
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Deloitte

Manager, Data Analysis Discovery & Requirements

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 21, 2026
Experience: 6+ years of experience in Business Analysis, Business Systems Analysis, Data Analysis, Data Product Management, or related disciplines
Posting language: English
Posted: Sep 21, 2026

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Original job description

Job Type: PermanentWork Model: HybridReference code: 135140Primary Location: Toronto, ONAll 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 standards
Support testing strategy, test case definition, user acceptance testing (UAT), and defect triage
Ensure successful deployment, adoption, and ongoing enhancement of data products
Prepare executive-ready presentations, recommendations, and status updates for stakeholders and leadership

About The Team

The Data Strategy & Governance Office (DSGO) is responsible for building an integrated strategy and operating model to effectively and consistently manage global data and AI throughout its lifecycle to more effectively serve our clients, meet business objectives and foster innovation. The team is leading initiatives to develop a data and AI strategy and establish consistent data governance, data management, and AI product development and governance practices at Deloitte Global, enabled by technology. The team reports to the Global Chief Information Officer under the Technology Strategy and Architecture portfolio.

Enough About Us, Let’s Talk About You

Do you possess the following?:

6+ years of experience in Business Analysis, Business Systems Analysis, Data Analysis, Data Product Management, or related disciplines
University degree or equivalent working experience in Business, Computer Science, or Technology CBAP, PMI-PBA, CSPO, SAFe Product Owner/Product Manager, or related certifications considered an asset
Proven experience leading data-focused initiatives from discovery through delivery and adoption.
Proven experience defining business and technical metrics, KPIs, and success measures for enterprise data products and analytics solutions
Demonstrated expertise creating source-to-target mapping documentation, data lineage artifacts, and business transformation logic.
Ability to balance strategic product thinking with detailed business analysis and delivery execution.
Proven ability to operate within a product-driven data organization
Experience facilitating cross-team prioritization activities to align multiple internal stakeholders and work effectively across multiple domains and subject matter experts
Excellent communication, presentation, and leadership skills; able to communicate complex messages and influence stakeholders at all levels of the organization including senior executives
Strong understanding of data platforms, data warehousing, ETL/ELT processes, data integration, and analytics ecosystems such as Databricks, Snowflake, etc.
Experience working with enterprise applications such as SAP, Salesforce, Informatica, or other operational systems

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.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

You Shape How We Make Impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at [email protected] if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or [email protected] for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

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More about this job

Responsibilities

The Manager will lead the end-to-end lifecycle of global data platform use cases, from discovery and requirements definition to implementation and adoption. They will coordinate cross-functional teams, including engineers and business stakeholders, to deliver scalable data products that align with enterprise architecture and business strategy.

Requirements

Candidates must have 6+ years of experience in business or data analysis and a university degree in a relevant field. Proven expertise in data-focused initiatives, source-to-target mapping, and stakeholder communication is essential for this role.

Skills

Data analysis
Business analysis
Data product management
Data governance
Requirements gathering
Source-to-target mapping
Data lineage
Stakeholder management
Project leadership
Data warehousing
ETL/ELT processes
Databricks
Snowflake
SAP
Salesforce
Informatica

Benefits

Mental health support benefits
Flexible benefit spending account
Paid vacation
Development and innovation days
Bonus program
Flexible work arrangements

Visa sponsorship

Not detected in the job text

Keywords

Data Analysis
Business Analysis
Data Product Management
Global Data Platform
Data Governance
Data Strategy
Requirements Engineering
Source-to-target Mapping
Data Lineage
KPIs
Databricks
Snowflake
SAP
Salesforce
Informatica
ETL
ELT
Data Modeling
Product Ownership
CBAP
PMI-PBA
CSPO
SAFe
Enterprise Architecture
Data Integration
Analytics Ecosystems
Cross-functional Leadership
Strategic Initiatives
Data Quality

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