Manager, Data Analysis Discovery & Requirements

Deloitte•Tampa, FL

1d•Onsite

About The Position

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.

Requirements

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
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
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

Responsibilities

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
Translate business use cases into well-defined product requirements, user stories, and acceptance criteria