Sr. Analyst, AI Governance

Bayview Asset Management•Toronto, ON

1d•Remote

About The Position

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.

Requirements

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)
Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field.
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

Nice To Haves

Master’s degree preferred
Certifications such as CISA, CISM, CRISC, or CGEIT are highly desirable.

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