Senior Model Governance Manager

Mitek Systems

. Lead and develop a team of model governance professionals, including hiring, onboarding, coaching, performance reviews, and career development .

Posted 11/6/2026full-timeRemote • United StatesSenior💰 $160,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in model governance, including oversight of documentation, validation, and compliance processes. Proven ability to lead teams, manage performance, and communicate effectively across technical and non-technical stakeholders.

Highest-signal resume keywords

Model GovernancePeople ManagementAI/ML DevelopmentJira Project ManagementConfluence Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model ValidationAnalyticsDocumentation OversightData Privacy AwarenessTechnical Implementation ReviewGovernance WorkflowsPythonSQLJavaAWS

Soft Skills

Clear CommunicationCollaborationOrganizationAttention to DetailSound Judgment

Tools & Technologies

JiraConfluenceCSVJSONAPIs

Industry Keywords

Model DocumentationAudit ReviewsRisk ManagementComplianceFraud Evaluation

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformJavaPythonSQL

About the role

Key responsibilities & impact

Lead and develop a team of model governance professionals, including hiring, onboarding, coaching, performance reviews, and career development
Set 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 delivery issues
Build a collaborative and accountable team culture
Oversee model governance documentation, including model owners, purpose, measurements, Model Cards, intended use, assumptions, limitations, known risks, explainability, and evaluation metrics
Maintain visibility into the current state of model governance reviews
Establish team metrics and report progress, risks, and resource needs to leadership
Own and prioritize the model governance review queue
Communicate weaknesses in testing approaches and confidence levels of metrics
Ensure model data lineage and training, validation, and monitoring dataset records are maintained
Partner with model owners and observability teams on monitoring responsibilities, review triggers, and escalation paths
Track overdue reviews and escalate material risks, exceptions, and unresolved issues
Coordinate governance priorities and dependencies with engineering, data science, risk, compliance, and product teams
Oversee model review preparation and ensure evidence and documentation are accessible to technical and non-technical audiences
Improve governance workflows, templates, tools, and automation; recommend broader changes to the Director
Hire, develop, appraise, discipline, and approve time and attendance for subordinates

Requirements

What you’ll need

Bachelor’s degree or higher in Computer Science, Engineering, Statistics, Mathematics, or a related technical or quantitative field
7+ years of experience in model governance, model validation, analytics, or related engineering roles
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
Ability to review technical implementations and guide governance decisions
Experience using documentation and tracking tools to manage governance activities
Awareness of data privacy and security considerations
Experience managing projects and workflows in Jira
Experience managing documentation in Confluence
People management, clear communication, presentation, collaboration, organization, attention to detail, sound judgment, and comfort working in risk-aware or regulated environments
Preferred: working knowledge of Python and/or Java, SQL, databases, CSV, JSON, SDKs, APIs, integration patterns, and AWS, Azure, or GCP
Preferred: experience evaluating fraud, risk, or decisioning models

Benefits

Comp & perks

Competitive, equitable compensation and benefits programs
Universal, supplemental, and private healthcare plan choices based on country specifics
Retirement/pension plan contributions
MTK stock plan participation
Life event and disability coverage
Generous annual leave
Company holidays
Volunteer time off
E-learning license
Tuition reimbursement
Hackathons
Home office setup allowance
Pet insurance
Identity theft protection
Legal assistance
Remote work or in-person office work flexibility