Sr. Model Governance Manager - Mitek Systems

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.

We are a Virtual 1st organization! 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.

Role Summary

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 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 models are properly evaluated and review processes proceed at a predictable pace.

Key Responsibilities

People Leadership & 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 stakeholders know the current state of model governance review at any time.
• Establish team metrics for completeness, review timeliness, documentation quality, and issue resolution.
• Own the prioritization queue for model governance review, taking input from stakeholders on deadlines and managing time requirements.
• Identify and communicate weaknesses in testing approaches during model reviews.
• Ensure model data lineage and training, validation, and monitoring dataset records are maintained.
• Partner with model owners and observability teams to define monitoring responsibilities, review triggers, and escalation paths.
• Track overdue reviews and escalate material risks, exceptions, and unresolved issues to leadership.

Cross-Functional Partnership & Improvement

• Coordinate governance priorities and dependencies with engineering, data science, risk, compliance, and product teams.
• 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.

Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.
• 7+ years of experience in model governance, model validation, analytics, or related engineering roles.
• 2+ years of direct people management experience.
• Demonstrated experience setting team priorities, coaching technical professionals, and delivering work across multiple stakeholders.
• Strong understanding of AI/ML development, deployment, validation, benchmarking, and monitoring.
• Experience overseeing model documentation, approval workflows, controls, and governance reviews.
• Experience managing projects and workflows in Jira.
• Experience managing documentation in Confluence.

Preferred Skills

• Working knowledge of Python, Java, SQL, databases, and standard data formats (CSV, JSON).
• Understanding of software development lifecycles, SDKs, APIs, integration patterns, and cloud environments (AWS, Azure, or GCP).
• Experience evaluating fraud, risk, or decisioning models.

Benefits & Perks

• Healthcare: Universal, supplemental, and private healthcare plan choices
• Financial: Retirement/pension plan contributions, MTK stock plan participation
• Income Protection: Life event and disability coverage
• Paid Time Off: Generous annual leave, company holidays, volunteer time off
• Learning: E-learning license, tuition reimbursement, hackathons
• Home Office: Home office setup allowance
• Additional: Optional pet insurance, identity theft protection, legal assistance