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Model Validation Manager Jobs in Michigan (NOW HIRING)

This role supports system validation strategy, audit readiness, CAPA management, and risk-based ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

This role supports system validation strategy, audit readiness, CAPA management, and risk-based ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

This role supports system validation strategy, audit readiness, CAPA management, and risk-based ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

This role supports system validation strategy, audit readiness, CAPA management, and risk-based ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

This role supports system validation strategy, audit readiness, CAPA management, and risk-based ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

This role supports system validation strategy, audit readiness, CAPA management, and risk-based ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

This role supports system validation strategy, audit readiness, CAPA management, and risk-based ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

This role supports system validation strategy, audit readiness, CAPA management, and risk-based ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

This role supports system validation strategy, audit readiness, CAPA management, and risk-based ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

As a Manager in AI Security Engineering, you will play a critical role in securing the development ... access control, model validation, and monitoring within DevSecOps and MLOps pipelines.

As a Manager in AI Security Engineering, you will play a critical role in securing the development ... access control, model validation, and monitoring within DevSecOps and MLOps pipelines.

Staff Data Scientist

Warren, MI ยท On-site

$184K - $233K/yr

Strong command of model development, model validation, uncertainty quantification, and performance ... Strong judgment in model comparison, feature selection, assumption management, and interpretation ...

Showing results 21-40

Model Validation Manager information

See Michigan salary details

$41.4K

$91.9K

$139.9K

How much do model validation manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for model validation manager in Michigan is $91,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $115,000.00 per year, depending on experience, location, and employer.

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 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.

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 are the most commonly searched types of Model Validation jobs in Michigan?

The most popular types of Model Validation jobs in Michigan are:

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

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

What cities in Michigan are hiring for Model Validation Manager jobs?

Cities in Michigan with the most Model Validation Manager job openings:

Director-New Ventures & Service Business Incubation

Alps Alpine (North America), Inc.

Auburn Hills, MI โ€ข On-site

$120 - $190/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Director-New Ventures & Service Business Incubation

Job Category: Sales & Marketing


Requisition Number: DIREC002045



  • Posted : August 4, 2026

  • Full-Time


Locations

Showing 1 location


Auburn Hills, MI
1500 Atlantic Blvd
Auburn Hills, MI 48326, USA


Auburn Hills, MI
1500 Atlantic Blvd
Auburn Hills, MI 48326, USA


New Venture Pipeline and Opportunity Creation

  • Build and manage a portfolio of new service business opportunities aligned with the Business Unitโ€™s strategic priorities.

  • Create original business concepts and actively source ideas from employees, customers, technology partners, startups, industry experts, and external ecosystems.

  • Translate market trends, customer problems, company capabilities, and emerging technologies into specific and actionable business opportunities.

  • Establish a repeatable process for collecting, evaluating, prioritizing, and advancing new business ideas.

  • Maintain a balanced venture pipeline across near-term, adjacent, and longer-term opportunities.


Opportunity Assessment and Prioritization

  • Develop and apply a disciplined evaluation framework covering customer need, willingness to pay, market potential, strategic fit, competitive advantage, technical feasibility, operational feasibility, regulatory risk, required investment, and potential profitability.

  • Build initial business cases, including revenue models, cost structures, unit economics, investment requirements, partner economics, and scalability assumptions.

  • Identify the most critical assumptions and risks that must be validated before additional investment is approved.

  • Recommend which opportunities should advance to testing, be revised, remain on hold, or be stopped.

  • Present clear investment recommendations to the Executive Director and other senior management stakeholders.


Customer Discovery and Business Model Validation

  • Lead direct customer discovery, including interviews, surveys, field observation, prototype feedback, pricing tests, and willingness-to-pay studies.

  • Validate the customer problem before committing significant resources to a solution.

  • Determine the most appropriate business model, including subscription, transaction, membership, marketplace, B2B, B2B2C, revenue-share, outcome-based, or partner-sponsored models.

  • Evaluate customer acquisition channels, retention drivers, service delivery requirements, and recurring-revenue potential.

  • Convert customer and partner feedback into specific changes to the value proposition and business model.


Pilot and Test Business Execution

  • Define the scope, budget, timeline, success criteria, failure criteria, and decision gates for each test business.

  • Assume leadership of selected projects that may already be in customer validation, pilot, or test-marketing stages at the time of hire.

  • Launch new minimum viable services, prototypes, test-marketing programs, and commercial pilots.

  • Lead cross-functional pilot teams involving product, engineering, software, data, sales, marketing, finance, legal, customer support, and operations.

  • Secure the internal and external resources required to launch and operate each test business.

  • Establish operating processes that allow the team to test the complete customer experience, rather than only the underlying technology.

  • Resolve execution barriers and keep pilots moving toward defined learning and decision milestones.


Performance Measurement and Decision-Making

  • Establish measurable KPIs before each pilot begins.

  • Track customer engagement, conversion, willingness to pay, retention, service utilization, partner participation, operational performance, unit economics, and scalability.

  • Separate actual market evidence from assumptions, enthusiasm, or internal opinion.

  • Determine, within an agreed test period, whether each venture should be scaled, modified, retested, paused, or discontinued.

  • Prepare concise and fact-based Go, Pivot, or Stop recommendations for the Executive Director.

  • Ensure that unsuccessful concepts are closed quickly and constructively, with key learning captured for future ventures.


Commercialization and Business Scale-Up

  • Create an investment-grade commercialization plan for validated opportunities.

  • Define the go-to-market strategy, operating model, organizational requirements, technology roadmap, partner ecosystem, financial plan, and implementation milestones.

  • Secure executive approval and funding for commercialization.

  • Lead the transition from pilot or test marketing into a fully operating commercial business.

  • Establish the leadership, organizational structure, processes, and performance management system required for scale.

  • Determine when a validated venture should remain within the incubation team, transition to an existing organization, or become a dedicated new business operation.


Budget, Organization, and Resource Management

  • Own and manage the approved new business development and pilot budget.

  • Allocate resources across projects based on strategic priority, market evidence, risk, and commercial potential.

  • Lead an initial team consisting of two direct reports, with support and oversight from the Deputy to the Executive Director.

  • Recruit additional employees, contractors, specialists, or external partners as required to build and scale new businesses.

  • Develop staffing and organizational plans for ventures moving from test marketing into commercial operation.

  • Maintain appropriate financial controls and provide regular budget and investment updates to management.


Partner and Ecosystem Development

  • Identify and recruit strategic partners needed to complete the customer value proposition.

  • Develop relationships with technology providers, service operators, distributors, retailers, insurers, dealers, consumer platforms, and other potential ecosystem participants.

  • Structure pilot agreements and commercial models that appropriately allocate risk, investment, data rights, revenue, and future upside.

  • Lead commercial negotiations in cooperation with legal, finance, procurement, and executive stakeholders.

  • Validate that partners receive sufficient economic and operational value to support long-term participation.


Leadership and Venture-Building Capability

  • Build and lead small, high-performing, cross-functional venture teams.

  • Create a working environment that combines entrepreneurial speed with appropriate corporate governance.

  • Coach team members in customer discovery, experimentation, business modeling, financial analysis, and evidence-based decision-making.

  • Build a repeatable venture incubation playbook for use across future service business initiatives.

  • Communicate progress, risks, learning, financial requirements, and decisions clearly to senior executives.

  • Serve as a champion for service-led and recurring-revenue business models across the organization.


Required Qualifications

  • Ten or more years of experience in new business development, venture building, business incubation, startup operations, service business development, general management, or a related field.

  • Five or more years of leadership experience involving cross-functional teams and complex business initiatives.

  • Demonstrated experience taking at least one new service, platform, product, or business model from concept through market validation and commercial launch.

  • Direct experience designing and operating pilot programs or test businesses.

  • Strong experience in customer discovery, value proposition testing, pricing validation, and Go, Pivot, or Stop decision-making.

  • Strong working knowledge of revenue models, unit economics, budgeting, financial forecasting, investment cases, and P&L fundamentals.

  • Experience managing budgets and allocating resources across multiple projects.

  • Experience building teams and recruiting employees or external specialists.

  • Ability to operate effectively in ambiguous situations without waiting for complete information or a fully established organization.

  • Experience working across technology, marketing, sales, operations, finance, and legal functions.

  • Strong partner development, negotiation, and senior stakeholder-management capabilities.

  • Ability to communicate complex business opportunities and recommendations clearly to executive management.

  • Bachelorโ€™s degree or equivalent professional experience.


Preferred Qualifications

  • Hands-on experience developing, testing, and launching new business or service concepts within a startup, early-stage business, or corporate innovation environment.

  • Experience building service-based, subscription, membership, digital platform, or B2B2C businesses.

  • Experience leading customer validation, pilot programs, or test-marketing initiatives.

  • Experience supporting the transition of a validated concept toward commercial launch.

  • Strong working knowledge of P&L, unit economics, budgeting, and financial business cases.

  • Experience developing partnerships and working with external technology or service providers.

  • Experience working across both entrepreneurial and established corporate environments.

  • Automotive industry experience is beneficial but not required.

  • MBA or other advanced degree is preferred but not required.


Location and Travel

The preferred location for this position is Michigan, due to the need for close interaction with the Business Unit's leadership and operating teams. However, candidate capability and relevant experience will take priority over location. Highly qualified candidates located elsewhere in the United States may be considered for a remote working arrangement. The position will require regular travel to Michigan, partner locations, customer research sites, test markets, and other business locations as needed.


Summary of Benefits and EEO statement


Alps Alpine NA, Inc. offers competitive salaries with a great work environment. Our comprehensive employee benefits package includes:



  • PPO Health Benefits (medical/dental/vision) Effective on Start Date

  • 401(k) Retirement Plan with Company Match

  • Opportunity for Annual Bonuses

  • Generous PTO and Holiday Schedule

  • Flexible Spending Accounts

  • Employee Assistance Program

  • Employee Product Purchase Discounts

  • Wellness Reimbursement Program

  • Life, AD&D, Short and Long-Term Disability Insurances


Alps Alpine NA, Inc. values its members as individuals and is committed to forming an energetic and attractive company where the quality of work is enhanced.


Alps Alpine North America, Inc. is an Equal Opportunity Employer. It is the policy of Alps Alpine NA, Inc. to consider all job applications on the basis of merit without regard to race, color, religion, gender, pregnancy, age, national origin, ancestry, marital status, veteran status, disability, medical condition, sexual orientation, or any other protected characteristic.


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Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.for further information, please review the Know Your Rights notice from the Department of Labor.

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