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Deloitte is seeking a Finance Analytics & AI Senior Consultant in the United States to help clients transform planning, budgeting, forecasting, and close using data and AI. You will design AI-enabled solutions, build assets in Python and SQL, and collaborate with cross-functional teams across cloud platforms.
The role emphasizes delivering impactful financial insights, guiding delivery, and managing risk for complex engagements with strong communication and leadership skills.
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 12/01/2026
As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform, Snowflake, Databricks
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.