
Senior Model Governance Manager
Posted 7 hours ago

Posted 7 hours ago
This is a fully remote position, open to applicants in United States.
• Lead and cultivate a team of model governance specialists, encompassing hiring, onboarding, coaching, conducting performance reviews, and fostering career development.
• Establish objectives, delegate tasks, balance workloads, and manage team capacity to achieve governance milestones and align with business priorities.
• Evaluate team deliverables for precision, completeness, and consistency; offer technical guidance and address delivery challenges.
• Foster a collaborative and accountable team culture.
• Oversee model governance documentation, which includes details on model owners, purpose, measurements, Model Cards, intended use, assumptions, limitations, known risks, explainability, and evaluation metrics.
• Maintain awareness of the current status of model governance reviews.
• Define team metrics and communicate progress, risks, and resource requirements to leadership.
• Take ownership of and prioritize the model governance review queue.
• Articulate weaknesses in testing methodologies and confidence levels of metrics.
• Ensure the maintenance of model data lineage and records for training, validation, and monitoring datasets.
• Collaborate with model owners and observability teams regarding monitoring responsibilities, review triggers, and escalation procedures.
• Monitor overdue reviews and escalate significant risks, exceptions, and unresolved concerns.
• Coordinate governance priorities and dependencies with engineering, data science, risk, compliance, and product teams.
• Supervise the preparation for model reviews and ensure that evidence and documentation are accessible to both technical and non-technical audiences.
• Enhance governance workflows, templates, tools, and automation; suggest broader changes to the Director.
• Recruit, develop, evaluate, discipline, and manage time and attendance for team members.
• Bachelor’s degree or higher in Computer Science, Engineering, Statistics, Mathematics, or a related technical or quantitative discipline.
• Over 7 years of experience in model governance, model validation, analytics, or comparable engineering roles.
• At least 2 years of direct experience in people management.
• Proven experience in setting team priorities, coaching technical professionals, managing performance, and delivering outcomes across multiple stakeholders.
• Experience in overseeing model documentation, approval workflows, controls, lifecycle tracking, and audit or governance reviews.
• Solid understanding of AI/ML development, deployment, validation, benchmarking, and monitoring processes.
• Capability to review technical implementations and guide governance decisions effectively.
• Experience utilizing documentation and tracking tools to manage governance activities.
• Awareness of considerations related to data privacy and security.
• Familiarity with managing projects and workflows using Jira.
• Experience with documentation management in Confluence.
• Skills in 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 in evaluating fraud, risk, or decision-making models.
• Competitive and equitable compensation along with benefits programs.
• Options for universal, supplemental, and private healthcare plans based on regional specifics.
• Contributions to retirement/pension plans.
• Participation in the MTK stock plan.
• Coverage for life events and disability.
• Generous annual leave policy.
• Designated company holidays.
• Time off for volunteering.
• E-learning licenses for professional development.
• Tuition reimbursement support.
• Opportunities to participate in hackathons.
• Allowance for home office setup.
• Pet insurance options.
• Protection against identity theft.
• Access to legal assistance.
• Flexibility for remote work or in-person office attendance.
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