Finance Analytics & AI Senior Consultant

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.

• Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities

• Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations

• Analyze business, functional, and technical requirements and translate them into AI-related design requirements, solution designs, workflows, and implementation plans

• Partner with developers and technical teams to build AI-enabled solutions, providing functional guidance and design clarification throughout development and testing

• Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms

• Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications, helping translate client needs into technical solution requirements

• Identify delivery risks, track dependencies, and support project execution across cross-functional teams

A successful candidate would possess these skills:

§ Ability to work independently and collaborate as part of a team

§ Effective written and verbal communication skills

§ Meticulous attention to detail and quality of work product

§ Ability to build and sustain professional relationships

§ Ability to lead projects or workstreams

§ Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

§ Strong interpersonal skills and professional demeanor

§ Ability to meet deadlines

§ Ability to provide clear guidance to others

Required:

• Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.

• 4+ years of experience with software development using Python or similar coding languages.

• Experience architecting AI systems on cloud platforms (e.g., GCP).

• Experience taking production-grade AI-driven solutions from conception to launch for customers.

• Experience leading technical discovery sessions with customers.

• Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.

• Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments

• Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini

• Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations

• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

• Limited immigration sponsorship may be available.

Preferred:

• Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics

• 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

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.