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Model Manager Jobs in Virginia (NOW HIRING)

AI Model Engineer

Ashburn, VA · On-site

$125K - $150K/yr

Everforth ECS is seeking an AI Model Engineer to work in a hybrid remote/onsite capacity, with ... Proficiency in building and managing ETL pipelines (e.g. AWS Glue, Apache Airflow) * Strong ...

AI Model Engineer

Fairfax, VA · On-site

$125K - $150K/yr

Everforth ECS is seeking an AI Model Engineer to work in a hybrid remote/onsite capacity, with ... Proficiency in building and managing ETL pipelines (e.g. AWS Glue, Apache Airflow) * Strong ...

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Model Manager information

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$24.3K

$59K

$115K

How much do model manager jobs pay per year?

As of Sep 15, 2026, the average yearly pay for model manager in Virginia is $59,014.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,600.00 and $67,900.00 per year, depending on experience, location, and employer.

What is a model manager?

A Model Manager is responsible for overseeing the development, deployment, and maintenance of machine learning models within an organization. They coordinate between data scientists, engineers, and business stakeholders to ensure models are accurate, efficient, and aligned with business goals. Their role includes managing model performance, monitoring for bias or drift, and optimizing workflows for scalability. They also ensure compliance with ethical AI practices and industry regulations.

What are the typical daily responsibilities of a model manager?

As a Model Manager, your daily responsibilities may include scouting new talent, organizing and facilitating photoshoots or auditions, negotiating contracts with agencies or clients, and overseeing the development of models' portfolios. You’ll often serve as the primary point of contact between models, clients, and agencies, making sure all parties are aligned on expectations and schedules. Additionally, administrative duties such as booking appointments, managing payments, and updating legal documentation are core aspects of the role. This position requires a balance of hands-on talent management and behind-the-scenes coordination to ensure your models' careers progress smoothly.

What are the key skills and qualifications needed to thrive in the model manager position, and why are they important?

Model Managers need a solid understanding of talent management, contract negotiation, branding, and the fashion or entertainment industry—often supported by a background in business, communications, or marketing. They should be proficient in using digital portfolio management platforms, scheduling tools, and industry-standard CRM (customer relationship management) systems. Exceptional interpersonal skills, strong organizational abilities, and the capacity to handle high-pressure situations set top professionals apart. These competencies are vital to successfully managing client relationships, securing opportunities, and advancing the careers of the models they represent.

How do you become a model manager?

To become a model manager, individuals typically gain experience in the fashion or entertainment industry, develop strong networking and communication skills, and often start in related roles such as agent or assistant. Many pursue courses or certifications in talent management or business administration to enhance their knowledge and credibility.

What are the most commonly searched types of Model jobs in Virginia?

The most popular types of Model jobs in Virginia are:

What are popular job titles related to Model Manager jobs in Virginia?

For Model Manager jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Model Manager jobs in Virginia look for?

The top searched job categories for Model Manager jobs in Virginia are:

What cities in Virginia are hiring for Model Manager jobs?

Cities in Virginia with the most Model Manager job openings:

Infographic showing various Model Manager job openings in Virginia as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $59,014 per year, or $28.4 per hour.

Data Analyst Manager - Model Risk Office

Richmond, VA • On-site

Capital One
Funds, Trusts and Financial Programs • 10K+ employees

Full-time

Re-posted 4 days ago


Key responsibilities

  • Manage the enterprise-wide model risk reporting function and drive a strategic transformation to replace legacy reporting with an interactive, GenAI-centric reporting ecosystem

  • Build, deploy, and optimize AI and machine learning models to automate model risk management processes, reporting, and controls

  • Lead the development of advanced AI workflows and conversational reporting chatbots, and collaborate across business units to improve data integration and operational efficiency


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz


Job description

Data Analyst Manager - Model Risk Office

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. 

The Model Risk Governance - Reporting and  Automation team sits within the Model Risk Office and serves for providing risk reporting to enterprise and process optimization for the department. Responsible for managing the enterprise-wide model risk reporting function, the team is actively driving a strategic transformation to replace legacy reporting with an interactive, GenAI-centric reporting ecosystem. In addition to innovating the reporting function, the team is deploying scalable, cutting-edge AI solutions—including intelligent multi-agent architectures—to eliminate repetitive manual workflows, optimize operational efficiency, and minimize human error. To accelerate this vision, the team has a vital need for forward-thinking talent eager to execute high-impact, AI-powered automation work that transforms how the enterprise visualizes and manages model risk.

What you’ll do:  

  • Builds and deploys scalable artificial intelligence and machine learning models to automate existing model risk management process, reporting and controls

  • Architect and deploy an interactive, conversational reporting chatbot powered by AI solutions

  • Experiment with and develop advanced, multi-agent AI workflows designed to execute complex cognitive tasks. 

  • Optimize data integration across core systems into centralized infrastructure to create a highly accurate, audited "source of truth" for model risk metrics

  • Drive current and future strategy by leveraging your analytical skills  

  • Assist with building and using models to test and validate data 

  • Work with vast amounts of data in new and evolving environments 

  • Be a part of growing and developing our brand in new and emerging markets 

  • Leverage analytics to create a customer experience above our peers 

  • Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers 

  • Be a part of the full life cycle of projects and see end results  

  • Collaborate across business units  

  • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority 

  • Experience real work life balance, with little travel involved  

 

On any given day you will be: 

  • Mining data to arrive at specific and crucial information for the organization  

  • Identifying and implementing process, data, and reporting improvements for the organization  

  • Working with large and complex databases containing millions to billions of records  

  • Improving operational efficiencies and effectiveness  

  • Conducting analysis to evaluate processes and tests  

  • Extracting and analyzing data to gauge product offerings  

  • Consulting on the design and implementation of new production and data storage systems  

  • Developing and implementing strategic tests of products, initiatives and marketing materials 

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

  • Currently has, or is in the process of obtaining a:

    • Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or 

    • Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 4 years of experience performing professional data analysis work

  • At least 4 years of experience performing programming

Preferred Qualifications:  

  • Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

  • At least 7 years of professional data analysis work experience

  • At least 4 years of experience with Python, R, Spark or SQL 

  • At least 1 year of experience in people management 

  • At least 1 years of project management experience 

  • At least 1 year of experience in interactive reporting tools such as Tableau or Quicksight

  • At least 1 years of experience in a Model Risk Management, Risk Governance, or highly regulated financial environment

  • At least 1 years of experience working with Large Language Models (LLMs) and advanced AI toolsets (e.g., Claude Code, Github Copilot, Gemini, Google Workspace Studio).

  • Proficient utilizing and developing within AWS service

 

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $164,800 - $188,100 for Data Analysis Manager


 

Richmond, VA: $149,800 - $171,000 for Data Analysis Manager


 

Chicago, IL: $149,800 - $171,000 for Data Analysis Manager


 


 


 


 


 


 


 


 

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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