Sr. Analyst, AI Governance

Overview ABOUT US Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities, mortgage servicing rights, and other credit-related assets. POSITION SUMMARY Bayview Asset Management is seeking a Senior Analyst, AI Governance to enhance the firm’s enterprise technology governance function. This role is responsible for assisting in the establishing and overseeing of an Artificial Intelligence (AI) governance framework that ensures alignment with business strategy, regulatory requirements, risk management standards, and operational excellence. This Sr. Analyst will oversee AI governance, model risk alignment, technology risk management, and regulatory compliance across the organization. This role serves as a key control function, partnering with IT, Risk, Compliance, Legal, Information Security, and business leadership to ensure safe, responsible, and compliant use of technology — including emerging AI and Generative AI capabilities. RESPONSIBILITIES: Document AI frameworks aligned with NIST, SCF, NYDFS, and regulatory best practices Continue the oversight of embed AI governance into IT, data, and enterprise risk programs Ensure governance is scalable, repeatable, and audit-ready through maintenance of AI risk taxonomy, reporting and escalations Partner with Model Risk Management to align with SR 11‑7 and OCC/Fed guidance Set standards for AI/model documentation and lifecycle oversight Govern internal, third‑party, and Generative AI solutions Identify, assess, and monitor AI risks Own mitigation strategies, control frameworks, and centralized risk register Assist in risk assessments, governance reviews, and control testing Ensure compliance with IT and AI regulatory requirements Serve as primary liaison for audits and regulatory exams Maintain documentation, evidence retention, and audit trails Lead periodic reviews and operational adoption Aligning governance with IT and digital transformation strategy Provide governance review for new technology initiatives Assess emerging AI technologies prior to adoption Define AI governance standards for vendors Partner with Vendor Risk to assess controls, transparency, validation, and data protection Ensure AI‑specific contractual safeguards SKILLS & REQUIRMENTS: Strong knowledge of IT governance frameworks and standards (COBIT, ITIL, NIST, ISO 27001) Proficiency with IT governance, risk, and compliance tools Solid understanding of IT infrastructure, applications, and cybersecurity principles Excellent written and verbal communication skills; able to convey complex concepts to non‑technical audiences Strong analytical and critical thinking skills with sound judgment in complex situations Ability to manage multiple priorities in a fast‑paced environment Demonstrated ability to develop and implement AI policies, procedures, and controls Strong interpersonal skills with the ability to influence stakeholders at all levels Understanding of AI/ML systems, including Generative AI and LLMs (conceptual + risk perspective; not hands-on engineering) QUALIFICATIONS: Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field. Master’s degree preferred Experience in AI/IT governance, risk management, or a related field, with direct exposure to AI/ML governance strongly preferred Experience with regulatory compliance and risk management in the IT domain Certifications, Licenses, and/or Registration Certifications such as CISA, CISM, CRISC, or CGEIT are highly desirable. Location and Compensation: This role can be fully remote, however if a candidate is found in the Toronto area, it is preferred. The compensation available for this role can be between $130,000 - $160,000 CAD. This range is dependent on experience. There is also a performance-based bonus structure available. EEOC Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.