Finance Transformation AI Manager

Grant Thornton (US); Charlotte (NC); On-site; USD 147,200 - 196,880; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) retirement plan

Paid sick leave

Job summary

A leading financial services firm in Charlotte, North Carolina is looking for a Finance Transformation AI Manager to lead AI-enabled finance solutions. This role requires 6+ years of experience in analytics and a degree in Data Science or a related field. The candidate will manage finance AI projects, mentor staff, and engage with clients to align solutions with business objectives. Benefits include medical coverage and a 401(k) plan. Salary ranges from $147,200 to $196,880 based on experience.

Qualifications

• 6+ years of experience in analytics, finance transformation, or advisory roles.
• Experience implementing AI solutions for finance functions.
• Ability to communicate complex concepts to non-technical stakeholders.

Responsibilities

• Lead end-to-end delivery of finance AI solutions.
• Design and deploy predictive and optimization models for finance.
• Supervise staff and ensure quality standards are met.

Skills

Communication of technical concepts

Client relationship management

AI/ML knowledge (Agentic AI, LLMs, etc.)

Programming in Python or SQL

Data engineering (ETL pipelines, etc.)

Education

Bachelor’s or Master’s degree in Data Science or related field

Tools

Azure

AWS

Snowflake

Databricks

GCP

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.

Responsibilities

• 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
• 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)

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
• 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%

Salary

The base salary range for this position is between $147,200 and $196,880. Placement within the pay range is at Grant Thornton’s discretion, and it is based on multiple factors, including but not limited to, job‑related knowledge/skills, experience, business needs, progression within the role, geographic location, and internal equity.

Benefits

The company offers comprehensive benefits including medical, dental, and vision coverage, a 401(k) retirement plan, paid sick leave, and other employee benefits. For a detailed overview of our benefits, please refer to the company’s benefits portal.

Equal Opportunity Employment

It is the policy of Grant Thornton to promote equal employment opportunities. All personnel decisions (including, but not limited to, recruiting, hiring, training, working conditions, promotion, transfer, compensation, benefits, evaluations, and termination) are made without regard to race, color, religion, national origin, sex, age, marital or civil union status, pregnancy or pregnancy-related condition, sexual orientation, gender identity or expression, citizenship status, veteran status, disability, handicap, genetic predisposition or any other characteristic protected by applicable federal, state, or local law.

Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, the policy of Grant Thornton LLP is to provide reasonable accommodations when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. To make an accommodation request, please contact [e-mail].

For Los Angeles Applicants only: We will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.

For Massachusetts Applicants only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Grant Thornton does not require or administer lie detector tests as a condition of employment or continued employment.