Finance AI Manager - Lead FP&A AI Solutions

Grant Thornton; Dallas (TX); Hybride; USD 171 000 - 197 000; Plein temps

Résumé du poste

Grant Thornton seeks a Finance AI Manager to lead AI-enabled finance solutions across Controllership and FP&A engagements. You will design, deploy, and oversee models, data pipelines, and stakeholder reporting while mentoring teams and driving business development.

The role requires 5+ years in analytics/finance transformation, profound finance knowledge, and the ability to translate technical outputs into business insights. Hybrid work with in-person collaboration is expected.

Qualifications

• Bachelor’s degree in Finance, Accounting, and/or Data Science or related field.
• 5+ years of progressive experience in analytics, finance transformation, or advisory roles.
• Ability to communicate complex technical concepts clearly to non-technical stakeholders.

Responsabilités

• 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.

Connaissances

Finance domain expertise

Leadership

AI/ML knowledge

Client management

Communication

Formation

Bachelor’s degree in Finance/Accounting or related field

Outils

Python

SQL

Azure

AWS

Snowflake

Databricks

Description du poste

Grant Thornton seeks a Finance AI Manager to lead AI-enabled finance solutions across Controllership and FP&A engagements. You will design, deploy, and oversee models, data pipelines, and stakeholder reporting while mentoring teams and driving business development.

The role requires 5+ years in analytics/finance transformation, profound finance knowledge, and the ability to translate technical outputs into business insights. Hybrid work with in-person collaboration is expected.