Finance AI Engineering Manager: Lead End-to-End AI Solutions

Grant Thornton; Philadelphia (Philadelphia County); Hybrid; USD 171.000 - 197.000; Vollzeit

Zusammenfassung

Grant Thornton's Finance AI Manager leads design, development, and deployment of AI-enabled finance solutions for Controllership and FP&A across client engagements, blending finance expertise with analytics and AI engineering to deliver high-quality outcomes.

The role requires client collaboration, proposal development, budget and timeline oversight, mentoring staff, and staying current with AI technologies and regulatory changes to drive practice growth.

Qualifikationen

• Bachelor’s degree in Finance or Accounting, with data science exposure.
• 5+ years in analytics or finance transformation or advisory roles.
• Ability to explain complex technical concepts to non-technical stakeholders.
• Experience delivering AI solutions for finance functions.
• Knowledge of finance processes, reporting frameworks, and regulatory environments.

Aufgaben

• Lead end-to-end delivery of finance AI solutions for controllership and FP&A.
• Design and deploy predictive, generative, and optimization models for finance use cases.
• Architect data pipelines and feature engineering for financial datasets.
• Manage budgets, timelines, and resources across client engagements.
• Coach staff and ensure delivery quality.
• Translate outputs into business insights for finance users.
• Support proposal development and business development collateral.
• Maintain strong client relationships as trusted advisor.
• Stay current with AI technologies and finance regulations.

Kenntnisse

AI in finance

Client communication

Team leadership

Mentoring

Ausbildung

Bachelor’s degree in Finance/Accounting, Data Science minor

Tools

Replit

Cursor

Azure

AWS

Snowflake

Databricks

GCP

Jobbeschreibung

Grant Thornton's Finance AI Manager leads design, development, and deployment of AI-enabled finance solutions for Controllership and FP&A across client engagements, blending finance expertise with analytics and AI engineering to deliver high-quality outcomes.

The role requires client collaboration, proposal development, budget and timeline oversight, mentoring staff, and staying current with AI technologies and regulatory changes to drive practice growth.