Sr. Model Governance Manager

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Sr. Model Governance Manager based in the United States. This leadership role offers the opportunity to shape how AI and machine learning models are governed, evaluated, and monitored across a technology-driven organization. You will lead a team of model governance professionals, ensuring that model reviews are thorough, transparent, timely, and aligned with established controls.

Working closely with engineering, data science, risk, compliance, and product teams, you will help ensure model risks are clearly understood and appropriately managed. You will oversee governance documentation, review workflows, team priorities, and performance standards while supporting sound, evidence-based decisions. The position combines technical oversight with people leadership and cross-functional collaboration. It is ideal for an experienced manager who values accountability, continuous improvement, and responsible AI/ML practices.

• Lead, develop, and manage a team of model governance professionals, including recruitment, onboarding, coaching, performance reviews, and career development.
• Establish clear team objectives, allocate responsibilities, balance workloads, and manage capacity to meet governance milestones and business priorities.
• Review team deliverables for accuracy, completeness, and consistency, providing technical guidance and resolving day‑to‑day delivery challenges.
• Build a collaborative and accountable team culture that promotes sound judgment, continuous learning, and timely escalation of concerns.
• Oversee model governance documentation, ensuring model ownership, purpose, measurements, and supporting records remain accurate and up to date.
• Ensure standardized model documentation covers Model Cards, intended use, assumptions, limitations, known risks, explainability, and evaluation metrics.
• Maintain clear visibility into governance review progress for the team, management, engineering, and other relevant stakeholders.
• Define and monitor performance metrics covering documentation quality, review timeliness, completeness, and issue resolution; communicate progress, risks, and resource needs to leadership.
• Own the model governance review prioritization queue, balancing stakeholder deadlines, team capacity, and review complexity while communicating the impact of priority changes.
• Identify and communicate weaknesses in model testing approaches, helping stakeholders understand the confidence and limitations of evaluation metrics.
• Ensure model data lineage and records for training, validation, and monitoring datasets are maintained.
• Partner with model owners and observability teams to define monitoring responsibilities, review triggers, and escalation paths, ensuring changes to models, data, or scope receive appropriate governance review.
• Track overdue reviews and elevate 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, representing the function in cross‑team discussions.
• Oversee model review preparation, ensuring supporting evidence is accessible and documentation is understandable to both technical and non‑technical audiences.
• Improve governance workflows, templates, tools, and automation within established policies, and recommend broader process changes to leadership.
• Develop and defend proposals for improvements that require action or support from other teams.

• Bachelor's degree or higher in Computer Science, Engineering, Statistics, Mathematics, or a related technical or…