Sr. Model Governance Manager

Mitek Systems

3d • $160,000 - $200,000 • Hybrid

About The Position

The Sr. Model Governance Manager leads a team responsible for ensuring AI/ML models are trained and evaluated in a controlled, transparent, and compliant manner. The role sets governance priorities with other teams, oversees the quality and timeliness of governance activities, and develops team members. It partners with engineering, data science, risk, compliance, and product teams to ensure models are evaluated appropriately, reviews proceed at a justifiable and predictable pace, and information needed to understand risks and make decisions is accessible to the appropriate owners.

The position oversees model governance documentation and review processes, team delivery, workload and capacity, metrics, prioritization, model lineage and dataset records, monitoring responsibilities, escalations, and continuous improvement of governance workflows. It represents the team across functions and reports material risks, exceptions, and unresolved issues to the Director and relevant risk or compliance owners. The role has authority to hire, develop, appraise, discipline, and approve time and attendance for subordinates.

Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, Statistics, Mathematics, or a related technical or quantitative field.
• At least 7 years of experience in model governance, model validation, analytics, or related engineering roles.
• At least 2 years of direct people management experience.
• 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.
• Ability to set clear expectations, provide practical feedback, and support others’ growth.
• Clear communication and presentation skills, including the ability to explain technical topics, risks, and priorities to varied audiences.
• Ability to build trust, resolve competing priorities, and follow through on commitments.
• Organization, attention to detail, sound judgment, focus on quality, and comfort working in risk-aware or regulated environments.

Nice To Haves

• 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.

Responsibilities

• Lead and develop model governance professionals, including hiring, onboarding, coaching, performance reviews, and career development.
• Set team goals, assign work, balance workloads, and manage capacity to meet governance milestones and business priorities.
• Review team deliverables for accuracy, completeness, and consistency; provide technical guidance and resolve delivery issues.
• Build a collaborative and accountable team culture that supports sound judgment, continuous learning, and timely escalation.
• Oversee model governance documentation, keeping model owners, purpose, and measurements accurate and current.
• Oversee standardized model documentation, including Model Cards, intended use, assumptions, limitations, known risks, explainability, and evaluation metrics.
• Maintain a high-visibility process for tracking the current status of governance reviews.
• Establish and report metrics for review completeness and timeliness, documentation quality, and issue resolution, along with progress, risks, and resource needs.
• Own the model governance review prioritization queue, incorporate stakeholder deadlines and team estimates, and communicate the likely impact of priority changes.
• Identify and communicate weaknesses in testing approaches and the confidence level of metrics.
• Ensure model data lineage and records for training, validation, and monitoring datasets are maintained.
• Partner with model owners and the observability team to define monitoring responsibilities, review triggers, and escalation paths, and ensure model, data, or scope changes receive appropriate review.
• Track overdue reviews and escalate material risks, exceptions, and unresolved issues to the Director and relevant risk or compliance owners.
• Coordinate governance priorities and dependencies with engineering, data science, risk, compliance, and product teams, and represent the team to other managers.
• Oversee review preparation so evidence is accessible and documentation is clear to technical and non-technical audiences.
• Improve governance workflows, templates, tools, and automation within established policies, recommend broader changes to the Director, and make and defend requests for changes by other teams.
• Hire, develop, appraise, discipline, and approve time and attendance for subordinates.

Benefits

• Universal, supplemental, and private healthcare plan choices based on country specifics.
• Retirement or pension plan contributions.
• MTK stock plan participation.
• Life event and disability coverage.
• Generous annual leave, company holidays, and volunteer time off.
• E-learning license and tuition reimbursement.
• Hackathons.
• Home office setup allowance.
• Optional pet insurance, identity theft protection, and legal assistance.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager