Data Platform Product Lead – AI-Ready Data Solutions

Deloitte France; St. Louis (MO); On-site; USD 150,000 - 190,000; Full time

Job summary

Deloitte Global is the engine of the Deloitte network, driving data products for a strategic initiative to build the Data Platform. The Manager will own business use cases from intake through implementation and adoption, partnering with architects and engineers to shape scalable, trusted AI-ready data products.

Success means translating technical depth into actionable recommendations for business and technology leaders, while maintaining alignment with GDP strategy and enterprise standards.

Qualifications

• 6+ years in Business Analysis, Business Systems Analysis, Data Analysis, Data Product Management, or related discipline.
• University degree, or equivalent working experience, in Business, Computer Science, or Technology.

Responsibilities

• Own the end-to-end lifecycle of GDP use cases and data products from intake through implementation, adoption, and enhancement.
• Partner with Product Manager to intake, triage, and prioritize requests across business domains and GDP roadmap.
• Lead cross-functional delivery teams of stakeholders, data engineers, data modelers, and SMEs to deliver 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.

Skills

Business Analysis

Data Analysis

Data Product Management

Stakeholder Collaboration

Education

University degree in Business/CS/Tech

Tools

Databricks

Snowflake

SAP

Salesforce

Informatica

Job description

Deloitte Global is the engine of the Deloitte network, driving data products for a strategic initiative to build the Data Platform. The Manager will own business use cases from intake through implementation and adoption, partnering with architects and engineers to shape scalable, trusted AI-ready data products.

Success means translating technical depth into actionable recommendations for business and technology leaders, while maintaining alignment with GDP strategy and enterprise standards.