Snowflake Finance Data & AI Architect Manager

About the role

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators. Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey. Recruiting for this role ends on 09/30/2026.

Responsibilities

• As a Finance Data & AI Manager specializing in Microsoft Azure and Fabric, you'll lead teams that design end-to-end solutions from source integration and OneLake through trusted data products, AI, and Power BI.
• Guide architecture from strategy through production.
• Lead engagements or workstreams that define end-to-end Azure and Fabric architectures across integration, OneLake, lakehouse/warehouse, security, AI, and finance consumption.
• Guide batch, streaming, mirroring, and orchestration design with Fabric Data Factory, Data Engineering, Spark, Data Warehouse, and Real-Time Intelligence.
• Establish governance, lineage, Entra-based access, data quality, observability, service-level objectives, and remediation with Microsoft Purview.
• Define reusable finance data products, canonical models, OneLake sharing, APIs, and governed semantic models for planning, close, profitability, treasury, and reporting.
• Architect production ML and generative and agentic AI with Fabric Data Science and Azure AI services, MLOps and LLMOps, evaluation, monitoring, and responsible AI.
• Manage client relationships, estimates, design reviews, deployment, capacity and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses.
• Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting.

Requirements

• 6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment
• 4+ years of experience designing Azure or Fabric solutions across data engineering, lakehouse/warehouse, security, performance, and multi-environment deployment
• 4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting
• Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field
• Ability to travel 50%, on average