Principal, Model Validation - GAI & Emergent Methods (US-REMOTE)

General information

Career area Risk Work Location(s) AK, AL, AR, AZ, CA, CO, CT, DC, DE, FL, GA, HI, IA, ID, IL, IN, KS, KY, LA, MA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NJ, NM, NV, NY, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VA, VT, WA, WI, WV, WY Remote? Yes Ref # 20163 Posted Date 06-30-25 Anticipated Application Closing Date 07-11-25 Working time Full time

Ally and Your Career

Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?
Work Schedule: Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.

The Opportunity

This role can be fully remote in the US.

The principal is responsible for executing best-practice Artificial Intelligence (AI) model validations to ensure that state-of-the-art GAI & emergent method models across the organization are trustworthy, unbiased, conceptually sound, comply with legal and regulatory standards, and continuously solve business objectives. The principal is likewise expected to stay abreast with the latest industry research related to GAI. The principal is also responsible for coaching and mentoring junior analysts to promote cross learning.

The Work Itself

• Comprehensively verify and validate various dimensions of AI models (both discriminative and generative) across Ally to identify technical and process gaps, reducing risk by identifying errors and prescribing corrective action.
• Develop AI and Machine Learning benchmarks as needed.
• Occasionally, provide engineering support (i.e., data, machine learning) to the model validation teams as needed.
• Document and present findings to the model validation leadership and stakeholders.
• Provide input to model risk management framework for Ally, including annual validation plans, model inventory, and model risk ranking.
• Develop and maintain effective partnerships with participants/stake