Sr. Model Governance Manager

Mitek (NASDAQ: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. Our verified identity platform and advanced image capture solutions are built on the latest advancements in biometric recognition, artificial intelligence, computer vision and machine learning, and trusted by over 7,500 organizations worldwide. We are headquartered in San Diego, California, with operations in the United Kingdom, Spain, France, Mexico, and the Netherlands. Visit us at

We are Virtual 1st! Whether you choose to work remotely from your home office or in-person from one of Mitek’s offices, our practices, processes and tools are designed to enable your success. At Mitek, the Future of Work is about flexibility and preference wherever and whenever we are working. Because we care about our candidates, employees and customers, we include an in-person meeting as part of our hiring process. It’s one of the ways we live our mission to “ Protect What’s Real.”

At Mitek, we believe that teams are more resilient, effective, and innovative when they benefit from a wide range of ideas, lived experiences, and perspectives. The strength of our organization is deeply rooted in the people who power it.​ We know that a workforce reflecting the richness of our communities and customers helps us better serve their needs.

As Manager, Model Governance, you will lead a team responsible for ensuring AI/ML models are trained and evaluated in a controlled, transparent, and compliant manner. You will communicate with other teams to establish governance team priorities, oversee the quality and timeliness of governance activities, and develop team members. Partnering with engineering, data science, risk, compliance, and product teams, you will ensure we are properly evaluating our models, proceeding with reviews at a justifiable and predictable pace, and ensure that the information to understand risks and make good decisions is easily accessible to the appropriate owners.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

People leadership and team delivery

• Lead and develop a team of model governance professionals, including hiring, onboarding, coaching, performance reviews, and career development.
• Set clear goals, assign work, balance workloads, and manage team capacity to meet governance milestones and business priorities.
• Review team deliverables for accuracy, completeness, and consistency; provide technical guidance and resolve day-to-day delivery issues.
• Build a collaborative, accountable team culture that encourages sound judgment, continuous learning, and timely escalation of concerns.

Model governance oversight

• Oversee model governance documentation, ensuring model owners, purpose, and measurements remain accurate and current.
• Oversee standardized model documentation, including Model Cards, intended use, assumptions, limitations, known risks, explainability, and model evaluation metrics.
• Maintain a high-visibility process so that your team and other groups (management, engineering) can know the current state of model governance review at any time.
• Establish team metrics for completeness, review timeliness, documentation quality, and issue resolution; report progress, risks, and resource needs to leadership.
• Own the prioritization queue for model governance review, taking input from stakeholders on deadlines, from the team on time requirements, and communicate high-confidence deadline impacts when priorities are changed.
• Understand and communicate weaknesses in testing approaches when they are identified in model review, so that people elsewhere in the business are aware when metrics have low or high confidence.
• Ensure model data lineage and training, validation, and monitoring dataset records are maintained.
• Partner with model owners and observability team to define monitoring responsibilities, review triggers, and escalation paths; ensure model, data, or scope changes receive appropriate governance review.
• Track overdue reviews; escalate material risks, exceptions, and unresolved issues to the Director and relevant risk or compliance owners.

Cross functional partnership and improvement

• Coordinate governance priorities and dependencies with engineering, data science, risk, compliance, and product teams; represent the team externally, including to other managers.
• Oversee model review preparation, ensuring evidence is accessible and documentation is clear for technical and non-technical audiences.
• Improve governance workflows, templates, tools, and automation within established policies, and recommend broader changes to the Director. When changes from other teams are required, write those requests and be prepared to defend their value.

This job description reflects management’s assignment of essential functions; and nothing in this herein restricts management’s right to assign or reassign duties and responsibilities to this job at any time.

Managerial Responsibilities

Manager: Has authority to hire, develop, appraise, discipline and approve time and attendance for subordinates.

• Bachelor’s degree or higher in Computer Science, Engineering, Statistics, Mathematics, or a related technical or quantitative field.
• Knowledge, skills, and abilities typically gained through 7+ years of experience in model governance, model validation, analytics, or related engineering roles, including 2+ years of direct people management.
• Experience setting team priorities, coaching technical professionals, managing performance, and delivering work across multiple stakeholders.
• Experience overseeing model documentation, approval workflows, controls, lifecycle tracking, and audit or governance reviews.
• Strong understanding of AI/ML development, deployment, validation, benchmarking, and monitoring, with the ability to review technical implementations and guide governance decisions.
• Experience using documentation and tracking tools to manage governance activities, and awareness of data privacy and security considerations.
• Experience managing projects and workflows in Jira.
• Experience managing documentation in Confluence.

• A people manager who sets clear expectations, provides practical feedback, and helps others grow.
• A clear communicator and confident presenter who explains technical topics, risks, and priorities to varied audiences.
• A collaborative partner who builds trust, resolves competing priorities, and follows through on commitments.
• Organized and detail-oriented, with sound judgment, a focus on quality, and comfort working in risk-aware or regulated environments.

• Working knowledge of Python and/or Java, SQL, databases, and common data formats such as CSV and JSON; ability to review datasets and technical evidence used in testing and validation.
• Understanding of software development lifecycles, SDKs, APIs, integration patterns, and cloud environments such as AWS, Azure, or GCP.
• Experience evaluating fraud, risk, or decisioning models.

$160,000 - $200,000 a year

We are proud to offer competitive salary ranges aligned to industry standards. Please note that our ranges are representative and individual compensation specifics may vary based upon experience level, professional competencies and geographic differentials.

We take pride in enabling career growth in an environment of innovation and teamwork. Our commitment to all Mitekians is to do meaningful work that matters. Our culture is defined by delivering our best to our customers by providing high value solutions and impactful outcomes, by continuously challenging convention, and by caring for each other through collaboration and celebrating our successes. We are committed to creating competitive, equitable compensation & benefits programs and career development opportunities.

Benefit offerings – may vary based on geographic location

Wellness : Universal, supplemental, and private healthcare plan choices based on country specifics

Financial future : retirement/pension plan contributions, MTK stock plan participation

Income protection: life event & disability coverage

Paid time off : generous annual leave, company holidays, volunteer time off

Learning : e-learning license, tuition reimbursement, hackathons

Home office setup allowance

Additional/optional benefits : pet insurance, identity theft protection, legal assistance

We sincerely appreciate your interest in Mitek. We know your time is valuable and look forward to the potential of speaking with you further!