Manager, Data Analysis Discovery & Requirements

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? This role leads the discovery, definition, delivery, governance, and adoption of data products for a strategic initiative to build Deloitte Global's Data Platform. It blends product ownership, business analysis, and data discovery expertise with a working understanding of how well-structured data underpins modern AI and agentic capabilities. The Manager will own business use cases from intake through implementation, partnering with business stakeholders, architects, and engineering teams to shape scalable, trusted, AI-ready data products. Success in this role means being equally comfortable running structured requirements sessions and navigating ambiguity - translating technical depth into recommendations that business and technology leaders can act on. Product Ownership & Delivery Leadership • Own the end-to-end lifecycle of Global Data Platform (GDP) use cases and data products - from intake through implementation, business adoption, and ongoing enhancement • Partner with the Product Manager to intake, triage, and prioritize requests across business domains and the GDP roadmap • Lead cross-functional delivery teams of business stakeholders, data engineers, data modelers, and subject matter experts to deliver against commitments • Coordinate contributors across business and technology teams to drive alignment, accountability, and timely execution • Provide day-to-day leadership, coaching, and guidance to business analysts and project contributors supporting GDP initiatives • Ensure delivered solutions stay aligned with GDP strategy, enterprise architecture standards, and business priorities Business & Data Requirements Analysis • Translate business use cases into well-defined product requirements, user stories, and acceptance criteria • Develop and maintain Business Requirements Documents (BRDs), process flows, and business rules • Analyze business processes, data structures, relationships, and system integrations to pinpoint required data elements and authoritative sources • Analyze complex enterprise datasets - SAP, Salesforce, Finance, and others - to surface gaps, inconsistencies, and transformation needs • Build and maintain source-to-target mapping documentation, transformation logic, calculation requirements, and data quality expectations • Support testing strategy, test case definition, user acceptance testing (UAT), and defect triage through deployment Stakeholder Engagement, Platform Thinking & AI Enablement • Facilitate cross-functional workshops to define business outcomes, KPIs, success metrics, requirements, dependencies, and delivery priorities • Engage credibly with a wide range of stakeholders - business leaders and users, risk, legal, and data privacy teams, and engineering - and turn their input into concrete design and implementation decisions • Apply platform thinking to judge when a data solution should be built as a reusable, governed capability rather than a one-off fix • Ground data product decisions in an understanding of how data fuels AI and agentic use cases - including data structuring and context provisioning - and emerging patterns like Model Context Protocol (MCP), so products are ready for both analytics and AI consumption • Work through ambiguity, structuring undefined problems and pushing decisions forward as requirements, standards, and technology patterns continue to evolve • Prepare and deliver executive-ready presentations, recommendations, and status updates, adjusting depth and style to the audience 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 in Business Analysis, Business Systems Analysis, Data Analysis, Data Product Management, or a related discipline University degree, or equivalent working experience, in Business, Computer Science, or Technology Data & Delivery Expertise • Track record leading data initiatives end-to-end within a product-driven data organization, from discovery through delivery and adoption • Experience defining business and technical KPIs and success measures for enterprise data products and analytics solutions • Skilled at producing source-to-target mapping documentation, data lineage artifacts, and transformation logic • Working knowledge of data platforms, data warehousing, ETL/ELT processes, and analytics ecosystems such as Databricks or Snowflake • Experience with enterprise systems such as SAP, Salesforce, Informatica, or similar operational platforms AI & Emerging Technology Fluency • Practical grasp of how data fuels AI outcomes, particularly within a professional services context, and what makes data "AI-ready • Familiarity with agentic AI concepts and integration patterns such as Model Context Protocol (MCP), and how they let AI systems draw on internal enterprise data • A platform mindset - an instinct for when to build once and scale versus solve narrow Communication & Stakeholder Skills • Comfortable making progress without complete information; skilled at structuring ambiguous problems into a workable path forward • Structured, logical thinker who distills complex business and technical issues into clear, actionable recommendations • Able to engage credibly across business, risk, legal, privacy, and engineering audiences, and translate that range of input into sound decisions • Polished communicator across every mode - written, verbal, and executive presentation - with a track record of influencing senior stakeholders Certifications • CBAP, PMI-PBA, CSPO, SAFe Product Owner/Product Manager, or related certifications 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 positi