Manager, Artificial Intelligence Operations

Job Summary

The Artificial Intelligence (AI) Operations Manager role will manage the design and implementation of productionized AI solutions to solve business problems. The role will work closely with data science teams to enable the integration of AI/ML models into business processes. Solutions will be scalable, resilient, and secure. The manager will oversee projects that maintain CI/CD pipelines, product ionize models (ML/DL/LLM), and develop integration code needed to deploy AI solutions.

• Provide managerial leadership to the AI Ops team, drive delivery of productionized AI solutions, manage team goals, mentor staff, and recruit top talent. (35%)
• Lead AI Operations associates, partner with data science teams on solution delivery, lead discovery & solution design, and ensure successful delivery of monitoring and maintenance of AI solutions. (35%)
• Guide adherence to compliance, security, and governance processes. (20%)
• Partner with Release Management, Infrastructure, Dev Ops, etc. to ensure smooth and successful deployments. (10%)

• Bachelor’s Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, Economics, or equivalent plus relevant work experience.
• 5+ years of experience in AI Ops, ML engineering, data science, data engineering, Dev Ops, analytics, or related fields.
• 3+ years of experience leading projects, mentoring and/or coaching, and demonstrated subject matter expertise in the department.

• Master’s Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science.
• 8+ years of experience in AI Ops, ML engineering, data science, data engineering, Dev Ops, analytics, or related fields.
• Experience building or supporting enterprise‑scale generative AI solutions, including LLM‑based applications and high‑volume production use cases.
• Background working in highly regulated industries (financial services preferred) with strong familiarity in data privacy, governance, and compliance requirements for AI/ML.
• Demonstrated ability to improve and mature AI/ML operational processes, streamline workflows, and drive efficiency while partnering across onshore/offshore teams.

• Artificial Intelligence Technologies
• AWS Cloud Computing
• Databricks Platform
• Dev Sec Ops
• Machine Learning Techniques
• Python (Programming Language)
• Researching New Technologies
• Software Engineering Principles

Senior Manager and above

2 - 5

Normal office environment. Required to work onsite, full-time within 60 miles of a posted Bread Financial location. May require additional work hours during evenings, weekends or holidays to support production applications.

Ability to travel up to 5% quarterly.

• Communicate/Hearing
• Communicate/Talking
• Stationary Position/Seated
• Typing/Writing
• Focus and complete tasks in situations that have a speed or productivity metric
• Maintain focus in high‑pressure or fast‑paced work environment

This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time.

$ - $

Medical, prescription drug, dental, vision, and other voluntary benefits (basic and optional life insurance, supplemental medical plans, short and long‑term disability) to eligible associates. Parental leave (100% paid for six weeks after 180‑day waiting period). 401(k) plan enrollment. 11 paid holidays. Flexible Time Off (FTO) program and Paid Sick and Safe Time (PSST).

• The Company is an Equal Opportunity Employer.
• Any applicant offered employment will be required to establish legal authorization to work in the United States.
• The Company participates in E‑Verify.
• The Company will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state, and local laws.
• The Company complies with the Americans with Disabilities Act (ADA) and all applicable state/local laws, and will provide accommodations to applicants needing accommodations during the application process.