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Model Validation Manager Jobs in Minnesota (NOW HIRING)

Data Modeller

Minneapolis, MN

$57.25 - $74/hr

... validating, publishing, maintaining PHYSICAL data models Evaluate existing data models and physical databases for variances and discrepancies Experience with managing meta data for data models To ...

... Management & Development team. The candidate will develop, validate, test, document, and implement ... Common deliverables include: Model development artifacts Model performance assessments ...

... validating, publishing, maintaining PHYSICAL data models Evaluate existing data models and physical databases for variances and discrepancies Experience with managing meta data for data models To ...

... validating, publishing, maintaining PHYSICAL data models Evaluate existing data models and physical databases for variances and discrepancies Experience with managing meta data for data models To ...

... and validation * Experience with data profiling and data quality assessment * Ability to translate complex business concepts into structured data models * Familiarity with metadata management ...

Showing results 21-40

Model Validation Manager information

See Minnesota salary details

$46.5K

$103.2K

$157.2K

How much do model validation manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for model validation manager in Minnesota is $103,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $129,300.00 per year, depending on experience, location, and employer.

How does a model validation manager collaborate with other teams during the model validation process?

A Model Validation Manager works closely with model developers, risk management teams, and internal audit to ensure models meet regulatory and business standards. Collaboration often involves reviewing model documentation, discussing model assumptions and methodologies, and providing feedback for improvements. Effective cross-functional communication is essential, as validation managers must balance technical analysis with regulatory compliance and business objectives. Regular meetings and clear reporting lines help facilitate this collaboration, ensuring that model risks are identified and addressed promptly.

What is the difference between Model Validation Manager vs Quantitative Analyst?

AspectModel Validation ManagerQuantitative Analyst
CredentialsTypically requires advanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM are commonOften holds degrees in finance, economics, or mathematics; certifications like CFA are also common
Work EnvironmentWorks in risk management, model validation teams within banks or financial institutionsWorks in trading, investment analysis, or risk departments within financial firms
Industry UsagePrimarily in banking, asset management, and financial services for model risk assessmentAcross investment firms, hedge funds, and banks for market analysis and trading strategies

The Model Validation Manager focuses on reviewing and validating financial models to ensure accuracy and compliance, often working within risk management teams. In contrast, a Quantitative Analyst develops and applies mathematical models for trading, investment, or risk purposes. While both roles require strong quantitative skills and similar credentials, their core responsibilities and work environments differ significantly.

What skills and qualifications are needed to be a model validation manager?

To thrive as a Model Validation Manager, you need strong quantitative analysis skills, knowledge of risk management, and an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with technical tools such as Python, R, SAS, and model risk management frameworks, as well as experience with regulatory compliance, is typically required. Exceptional problem-solving, communication, and stakeholder management abilities are important soft skills for this role. These skills ensure effective validation of financial models, regulatory compliance, and clear communication of complex findings to non-technical audiences.

What does a model validation manager do?

A Model Validation Manager is responsible for overseeing the validation of financial, risk, or predictive models within an organization. Their primary duties include ensuring that models are accurate, reliable, and compliant with regulatory requirements. They lead teams that assess model performance, identify potential weaknesses, and recommend improvements. This role helps maintain the integrity of models used in decision-making processes, particularly in industries like banking and finance.
What are the most commonly searched types of Model Validation jobs in Minnesota? The most popular types of Model Validation jobs in Minnesota are:
What are popular job titles related to Model Validation Manager jobs in Minnesota? For Model Validation Manager jobs in Minnesota, the most frequently searched job titles are:
Infographic showing various Model Validation Manager job openings in Minnesota as of July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $103,245 per year, or $49.6 per hour.

Lead Technical Product Manager - Remote or Hybrid in MN or DC

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$112K - $193K/yr

Full-time

Retirement

Posted yesterday

New


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

188th of 887 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.  


As Lead Technical Product Manager on OptumRx's Product Strategy & Value Delivery Team (PSVD), you will manage the end-to-end delivery of Optum Assistant, an AI platform transforming Pharmacy Benefit Services for OptumRx. You will translate complex Pharmacy Benefit Management (PBM) workflows into intuitive, automated solutions and lead cross-functional teams to deliver impactful, scalable AI capabilities. This role offers the chance to drive real-world innovation, enhancing member, advocate, and client experiences while streamlining issue resolution in a high-volume environment.
 

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.  For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
 

Primary Responsibilities:

  • Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible and ethical use of AI
  • Translate complex business and operational Pharmacy Benefit Management (PBM) problems into AI-driven solutions, partnering closely with engineering and data science teams
  • Lead Agile product delivery, manage backlog prioritization, and decompose complex AI capabilities into actionable technical requirements and user stories
  • Evaluate emerging AI trends and technologies to inform product solution design, strategy, and continuous innovation
  • Ensure AI products deliver measurable value while meeting quality, governance, security, and compliance standards
  • Leverage enterprise-approved AI tools to streamline technical workflows, automate product management tasks, and drive continuous improvement
  • Drive cross-functional alignment across technical and business teams, proactively managing technical and operational risks
  • Define complex test scenarios and validation requirements for PBM workflows, including multi-plan, multi-reject, and multi-carrier conditions
  • Partner with engineering, testing, and data teams to ensure accurate test data availability and robust end-to-end validation coverage


You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. 
 

Required Qualifications:

  • 5 years of experience in technical product management, systems analysis, product engineering, or a similar role delivering complex software systems
  • 3 years of experience partnering with engineering, data science, or other technical teams to deliver automated, software-driven, or AI/ML-enabled capabilities, with working knowledge of APIs, microservices, and cloud-based architectures
  • 3 years of experience working with healthcare backend data structures, end-to-end claim lifecycle processes, and claim processing workflows
  • Experience defining complex end-to-end test scenarios and data validation plans for multi-layered system workflows


Preferred Qualifications:

  • Bachelor's degree (or higher) in Computer Science, Engineering, Business, or a related technology field
  • Experience within the Pharmacy Benefit Management (PBM) or broader healthcare industry
  • Experience designing, developing, or deploying conversational AI, natural language processing (NLP), or customer-support automated platforms (e.g., virtual assistant tools)
  • Understanding of secure, responsible, and ethical AI development practices, model validation, or governance protocols
  • Demonstrated capability to leverage advanced digital productivity and automation tools to optimize day-to-day work processes
     

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.


Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.


Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.    


UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.    


UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.    


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