Grant Thornton

Finance Transformation AI Manager

Grant Thornton$147K — $160K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Engineering with a minor in Finance, Accounting, or related field
  • 6+ years of progressive experience in analytics, finance transformation, or advisory roles
  • Strong ability to communicate complex technical concepts to non-technical stakeholders
  • Experience implementing AI solutions for finance functions
  • Knowledge of finance processes and regulatory environments
  • Proficiency in programming languages such as Python and SQL
  • Familiarity with data platforms including Azure, AWS, and Snowflake

Responsibilities

  • Lead end-to-end delivery of finance AI solutions including planning and stakeholder reporting
  • Design and deploy predictive and optimization models for finance use cases
  • Architect data pipelines and feature engineering frameworks for financial data
  • Supervise, coach, and mentor team members, reviewing work to ensure quality
  • Translate technical outputs into actionable business insights for finance users
  • Manage budgets, timelines, and resource allocations for engagements
  • Collaborate with clients to align deliverables with their business objectives

Benefits

  • Professional development and continuous learning opportunities
  • Collaboration with clients and the possibility to act as a trusted advisor
  • Opportunity to influence practice growth initiatives
  • Exposure to cutting-edge AI technologies in the finance sector
  • Dynamic work environment involving multiple client engagements
Full Job Description
Job Description

The Finance Transformation AI Manager is responsible for leading the design, development, and deployment of AI-enabled finance solutions for Controllership and FP&A functions across multiple client engagements. This role blends advanced analytics, AI engineering, and deep finance domain expertise to deliver high-quality outcomes aligned with client business objectives.

Managers are expected to lead proposal development, supervise teams, oversee delivery quality, manage budgets and timelines, and contribute to practice growth initiatives. They work closely with clients to understand operational processes and translate business needs into scalable data and AI solutions.

Your day-to-day may include:
  • Lead end-to-end delivery of finance AI solutions, including planning, execution, monitoring, and stakeholder reporting
  • Design and deploy predictive, generative, and optimization models for finance use cases (close acceleration, forecasting, anomaly detection, reconciliations, working capital optimization)
  • Architect data pipelines and feature engineering frameworks supporting financial datasets
  • Supervise, coach, and mentor staff, review work products and ensure adherence to quality standards
  • Translate complex technical outputs into business insights for finance users
  • Manage engagement budgets, timelines, and resource allocations
  • Collaborate with client stakeholders to understand operations and align deliverables with business objectives
  • Support proposal development, solution demonstrations, and business development initiatives
  • Lead proposal development and business development collateral development
  • Maintain strong client relationships and act as a trusted advisor
  • Stay current with emerging AI technologies and finance regulations impacting client environments
  • Demonstrated ability to manage multiple priorities and simultaneous projects
  • Strong interpersonal, communication, and client-service skills
  • Commitment to professional development and continuous learning
  • Meet or exceed targeted billing hours (utilization)
  • Other duties as assigned

You have the following technical skills or qualifications:
  • Bachelor's or Master's degree in Data Science, Computer Engineering with minor in Finance, Accounting, or related field
  • 6+ years of progressive experience in analytics, finance transformation, or advisory roles
  • Ability to communicate complex technical concepts clearly to non-technical stakeholders
  • Experience working directly with client personnel at multiple organizational levels.
  • Experience implementing AI solutions for finance functions
  • Rapid prototype development using Replit, Cursor or similar platform
  • Knowledge of finance processes, accounting, reporting frameworks, and regulatory environments
  • AI/ML: Agentic AI, LLMs, predictive modeling, NLP, time-series forecasting, optimization
  • Programming: Python, SQL, or equivalent data languages
  • Data Platforms: Azure, AWS, Snowflake, Databricks, GCP
  • Finance Systems: Financial data warehouses, EPM, ERP integration
  • Data Engineering: ETL pipelines, data modeling, query optimization
  • Can travel as needed. Expected travel is up to 30%

The base salary range for this position in Chicago, IL only is between $147,500 and $160,000.

The base salary range for this position in New York, NY only is between $158,000 and $184,000.

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About Grant Thornton

Grant Thornton LLP is the American member firm of Grant Thornton International, the seventh largest accounting network in the world by combined fee income. Grant Thornton LLP is the sixth largest U.S. accounting and advisory organization. The firm operates 59 offices across the US with approximately 8,500 employees, 550 partners, and produces annual revenue in excess of US$1.9 billion. During the 2022 Russian Invasion of Ukraine, The Times reported that Grant Thornton is in line to earn millions of pounds for acting as trustees in a bankruptcy case on behalf of the Russian state-owned DIA, who bypassed sanction regimes to obtain funds and assets from abroad in order to fund the war in Ukraine.
Learn more about Grant Thornton

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