Sr. Model Governance Engineer
TLDR
Ensure AI/ML models are developed, deployed, and monitored in a controlled and compliant manner while supporting strong model governance practices.
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Maintain the enterprise model inventory, including model owners, purpose, risk rating, and deployment status
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Apply model risk ratings and confirm required governance steps are completed
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Coordinate model release approvals, evidence collection, and sign off processes
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Manage versioning, archiving, and traceability for models and related documentation
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Ensure models have complete and standardized documentation, such as Model Cards
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Document model intent, assumptions, limitations, and known risks
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Capture explainability considerations and any human in the loop processes used
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Maintain data lineage and dataset information for training, validation, and monitoring
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Ensure required validation evidence is available, including performance and testing results
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Support stress testing or review activities for higher risk models
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Help set up and support ongoing model monitoring activities
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Trigger governance reviews when model, data, or scope changes occur
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Partner with engineering, data science, risk, compliance, and governance teams
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Produce clear and consistent governance documentation for both technical and non-technical audiences
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Support the preparation and review of datasets used for model testing and validation
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Support or participate in governance reviews, validations, or review meetings
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Bachelor’s degree, or higher, in a technical or quantitative field (Computer Science, Engineering, Statistics, Mathematics, or similar)
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Knowledge, skills and abilities typically gained through 5+ years of experience in model governance, model validation, analytics, or related engineering roles
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Experience managing model documentation, approvals, controls, or lifecycle tracking
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Understanding of AI/ML models and how they are developed, tested, and used
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Familiarity with model validation concepts and benchmarking approaches
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Working knowledge of programming languages such as Java and Python
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Familiarity with common data formats such as CSV and JSON
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Experience writing or reviewing SQL and querying databases, including working with datasets for testing or validation
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Understanding of application development concepts and software development lifecycles
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Familiarity with SDKs, APIs, and integration patterns used in production systems
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Experience working with or supporting systems deployed on cloud platforms (e.g., AWS, Azure, or GCP)
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Ability to review technical implementations to understand how models are built, deployed, and monitored
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Experience using documentation or tracking tools to support governance, review, or audit activities
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Awareness of data privacy and security considerations when working with model data and datasets
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Experience supporting models used in fraud, risk, or decisioning systems is a plus
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Knowledge of regulatory or governance expectations related to model risk is a plus
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Clear communicator, who can explain complex technical topics simply
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Confident presenter, able to share information to various types and levels of stakeholders
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Able to work across multiple teams and stakeholders
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Detail‑oriented with a strong focus on documentation and accuracy, paired with the ability to identify gaps or issues
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Comfortable working in risk‑aware and regulated environments
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Organized and methodical in how you manage work and information
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Proactive and comfortable taking ownership of governance tasks
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Flexible hours with the possibility to work full remote (in the US) or from our San Diego office.
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You'll be able to share feedback to shape and drive innovation using the latest technologies.
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Opportunities to contribute to a highly diverse, inclusive an Agile native ecosystem.
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Training and development opportunities in a fast-growing industry.
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Highly competitive salary + bonus, perks and benefits.
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A fun and inclusive work environment where teams succeed together.
Benefits
Flexible Work Hours
Flexible hours with the possibility to work full remote (in the US) or from our San Diego office.
Inclusive work environment
A fun and inclusive work environment where teams succeed together.
Mitek Systems provides digital and biometric identity authentication, fraud prevention, and mobile deposit solutions, serving over 7,500 organizations globally. Our technology leverages advanced biometric recognition, artificial intelligence, and machine learning to enhance security and streamline transactions for businesses and consumers alike.
- Founded
- Founded 1985
- Employees
- 500+ employees
- Industry
- Internet Software & Services