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Model Manager Jobs (NOW HIRING)

NY · On-site

$81.27 - $135.45/hr

Job Overview The Model Manager is responsible for overseeing a portfolio of complex and strategically important AI-driven supervisory models, ensuring their performance, governance compliance ...

Revit Model Manager

Woburn, MA · On-site

$35 - $45/hr

Revit Model Manager Position Location: Greater Boston, MA (South of Boston) Approx. Length of Position : Temp-to-hire Degree Required: Bachelors or Master's degree in Architecture, Engineering ...

In the role of BIM Model Manager, we'll count on you to: • Manage the digital model environment and deliverables for an entire project • Have an advanced understanding of how all disciplines ...

Primary Responsibilitie In the role of BIM Model Manager, we'll count on you to: * Be responsible for MEP Revit model setup when projects are initiated * Maintain the MEP discipline models including ...

BIM Model Manager

Chicago, IL

$82K - $110K/yr

Manage the digital model environment and deliverables for an entire project * Have an advanced understanding of how all disciplines interact and how construction documents are produced * Work ...

Manage the digital model environment and deliverables for an entire project Have an advanced understanding of how all disciplines interact and how construction documents are produced Work directly ...

Manage the digital model environment and deliverables for an entire project * Have an advanced understanding of how all disciplines interact and how construction documents are produced * Work ...

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Model Manager information

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$24.5K

$59.5K

$116K

How much do model manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for model manager in the United States is $59,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $68,500.00 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.
More about Model Manager jobs

What cities are hiring for Model Manager jobs?

Cities with the most Model Manager job openings:

What are the most commonly searched types of Model jobs?

The most popular types of Model jobs are:

What states have the most Model Manager jobs?

States with the most job openings for Model Manager jobs include:

Infographic showing various Model Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $59,525 per year, or $28.6 per hour.

$81.27 - $135.45/hr

Other

Medical, Retirement, PTO

Posted 4 days ago


LPL Financial rating

7.4

Company rating: 7.4 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

119th of 151 rated financial services


Job description

Where Ambition Meets Innovation Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

Job Overview

The Model Manager is responsible for overseeing a portfolio of complex and strategically important AI-driven supervisory models, ensuring their performance, governance compliance, documentation accuracy, and overall lifecycle management. This role continuously monitors model effectiveness, analyzes trends and performance metrics, and proactively identifies and escalates risks while recommending data-driven remediation strategies. The Model Manager leads model enhancements and change initiatives, including parameter updates, logic refinements, threshold recalibrations, and data modifications, while ensuring adherence to established governance and change management frameworks. Working closely with technology, compliance, and business stakeholders, the role directs validation, quality control, testing, and deployment activities to maintain model accuracy, regulatory compliance, and operational effectiveness. Additionally, the Model Manager drives continuous improvement by identifying optimization opportunities, conducting root-cause analyses, and leveraging benchmarking, A/B testing, and scenario-based validation to support the evolution of next-generation supervisory models.

Responsibilities
  • Model Management Own and manage a portfolio of complex, high-scale, or strategically significant supervisory AI models – taking full accountability for each model’s performance, governance compliance, documentation currency, and lifecycle status.
  • Conduct ongoing performance monitoring and trend analysis across assigned models, interpreting results against established thresholds and proactively escalating material deviations to the VP with root-cause analysis and recommended remediation.
  • Manage model changes – including parameter adjustments, logic refinements, threshold recalibrations, and data feed modifications – through the firm’s change management and governance protocols, ensuring complete documentation at each stage.
  • Lead validation and quality control exercises for assigned models, coordinating with technology and compliance stakeholders to ensure models remain accurate, regulatory-compliant, and operationally effective.
Model Enhancement & Optimization
  • Proactively identify and prioritize enhancement opportunities across the assigned model portfolios, synthesizing performance data, supervisory feedback, and regulatory developments into well-reasoned improvement recommendations for VP review.
  • Design and lead model enhancement initiatives – from scoping and requirements development through testing, validation, and deployment – coordinating cross-functional resources and managing timelines with minimal VP oversight.
  • Conduct root-cause analysis when models produce anomalous, degraded, or inconsistent outputs, developing and executing remediation plans in a timely and thorough manner.
  • Support A/B testing, benchmarking, and scenario-based validation to inform model update decisions and next-generation design.
What are we looking for?

We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements
  • 5+ years of experience in financial services with meaningful exposure to supervision, compliance, model risk management, or regulatory operations.
  • Bachelor’s degree in Business, Finance, Data Analytics, or a related field required.
  • Demonstrated experience supporting or managing analytical or AI model lifecycles within a financial service or similarly regulated environment – including monitoring validation and change management activities.
  • Working knowledge of FINRA, SEC, and NASAA regulatory frameworks as they relate to supervisory obligations and first-line control environments.
  • Experience collaborating across compliance, technology, and operations functions, with the ability to translate technical model concepts for non-technical supervisory audiences.
  • Proficiency in Microsoft Word, Excel, PowerPoint, experience with data visualization tools, query languages (SQL), or model monitoring platforms strongly preferred.
  • Analytical and critical-thinking skills, with the ability to identify patterns in model performance data, diagnose root causes, and develop well-reasoned, actionable recommendations.
  • Written and verbal communication skills, with experience preparing concise, professional reports and presenting findings to management-level stakeholders.
  • Organized and detail-oriented, with the ability to manage multiple concurrent model workstreams with accuracy and professionalism.
  • A genuine intellectual curiosity about AI, machine learning, and the application of emerging technologies to regulatory and supervisory challenges.
Preferences
  • FINRA Series 7; willingness and eligibility to obtain required upon hire.
  • Additional FINRA licensing (Series 24, 66)
Pay Range

Pay Range: $81,267.00 - $135,445.00. Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location.

Benefits
  • 401K matching
  • Health benefits
  • Employee stock options
  • Paid time off
  • Volunteer time off
Company Overview

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.

For further information about LPL, please visit www.lpl.com.

At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run thriving businesses. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.

Join the LPL team and help us make a difference by turning life's aspirations into financial realities.

EOE.

LPL Financial is the nation’s largest independent broker-dealer. Our company is widely known for its financial strength, exceptional service, and favorable industry reputation among financial professionals. To understand who we are, it’s important to know our core belief: financial guidance is a fundamental need for everyone. LPL Financial creates the space to let you do what you do best – create personal, long-term client relationships that turn financial aspirations into realities. Each year, thousands of financial professionals successfully manage billions of dollars in assets. Because our company is not too big and not too small, you can seize the opportunity to make a real impact. To learn more about our organization visit our About LPL page. As reported by Financial Planning magazine, June 1996-2019, based on total revenue.

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