AI-Driven FP&A Transformation Lead

This role sits at the intersection of Finance, Data, and AI. The mandate is to replace manual FP&A processes with scalable, intelligent systems, enabling the Technology FP&A (Network and IT) team to plan, forecast, and analyze spend more efficiently and accurately.

Key Responsibilities

Own AI‑driven transformation of FP&A workflows

Identify high‑value use cases across Network and IT finance

Replace legacy Excel/manual models with scalable, automated solutions

Design and deploy agentic AI solutions

Build or orchestrate agent‑based systems leveraging modern AI platforms (Anthropic, Google, OpenAI, etc.)

Implement workflows that integrate reasoning, retrieval, and execution across financial datasets

Integrate enterprise data ecosystems

Connect and normalize data across Snowflake, Azure, and other platforms

Incorporate structured and unstructured data from procurement, accounting, network systems, and IT

Enable and scale adoption

Train and guide finance teams on how to use AI tools and agent‑based workflows

Establish best practices for prompt design, agent configuration, and model governance

Drive governance and compliance

Ensure solutions align with enterprise data, security, and financial controls

Partner with Technology, Security, and Data teams on storage, retrieval, and access patterns

Partner on future‑state systems

Interface with ERP/EPM transformation efforts (SAP → Oracle)

Ensure AI solutions integrate into long‑term finance systems architecture

Education and Work Experience

7+ years in FP&A, Finance Transformation, Data, or related field

Demonstrated experience building or deploying AI/ML or automation solutions (not just using them)

Working knowledge of agentic AI concepts (multi‑step workflows, tool use, retrieval, orchestration)

Strong understanding of FP&A fundamentals (forecasting, budgeting, variance analysis)

Experience working with enterprise data platforms (Snowflake, Azure, etc.)

Ability to translate ambiguous business problems into scalable technical solutions

Hands‑on experience with AI platforms (Anthropic, Google, OpenAI, etc.)

Experience integrating multiple enterprise data sources into unified models

Exposure to ERP/EPM systems (SAP, Oracle)

Background in Technology Finance (Network, IT, or similar)

Experience enabling or training non‑technical users on advanced tools

Required Qualifications

Bachelor’s degree in Finance, Accounting, Economics, Computer Science, Data Science, Information Systems, Engineering, or related field

At least 18 years of age

Legally authorized to work in the United States

Preferred Qualifications

Master’s degree in Business Administration (MBA), Data Science, Analytics, Computer Science, Information Systems, or related discipline

Compensation
Base Pay Range: $94,300 - $170,200

Corporate Bonus Target: 20%

Travel and Regulatory
Travel Required (Yes/No): No

DOT Regulated Position (Yes/No): No

Safety Sensitive Position (Yes/No): No

Equal Opportunity Employer Statement
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un‑carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non‑accommodation related requests.

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