• Own delivery end-to-end; scope projects with clients and engineering teams • Define clear roadmaps, break work into phases, and maintain momentum across engagements • Be the structure your client cannot build themselves; define workstreams and establish operating cadence • Navigate and actively manage multiple stakeholders; maintain clear alignment across teams • Act as a forward deployed operator; embed with client teams on-site periodically • Communicate status before anyone has to ask; provide structured updates • Unblock teams and drive execution; manage change requests and ensure clear agendas • Translate between technical and business contexts; communicate constraints clearly • Coach engineers to operate as independent consultants • Improve how teams operate; assess processes and identify inefficiencies • Drive visibility and accountability; ensure documentation and accessibility • Drive AI adoption within engagements; identify opportunities for productivity improvement • Identify and drive expansion opportunities; turn delivery success into additional scope • Leave the client stronger than you found them; ensure knowledge transfer and improvements

• Build and Deploy AI Tools Across the Business — you will identify opportunities across business development, client services, operations, HR, and finance to implement AI-powered workflows and automations that reduce friction and increase output. • Lead AI Adoption Agency-Wide — you will serve as the internal champion for AI, educating and enabling the team to confidently use emerging tools in their day-to-day work, running working sessions and building documentation as needed. • Manage the AI Tool Stack — you will evaluate, select, and maintain the agency's AI infrastructure, including tools for outreach, content, research, project management, and internal operations, staying ahead of what is new and relevant. • Develop New Business Applications — you will work closely with leadership to build AI-driven capabilities that support prospecting, proposal generation, and client engagement, turning manual processes into scalable systems. • Stay Ahead of the Curve — you will continuously monitor the AI landscape for tools, techniques, and platforms that are relevant to agency operations and client work, bringing recommendations and a point of view to leadership on a regular basis.

• Provide technical authority for SAS Viya architecture, platform design, configuration, and standards across environments. • Lead platform administration and lifecycle management, including upgrades, patching, backup, recovery, and ensuring environment stability. • Manage and optimise CAS performance, workload execution, scalability, and resource utilisation for analytics and AI workloads. • Ensure robust security, identity, access management, and regulatory compliance in line with enterprise policies. • Oversee monitoring, logging, observability, and incident management to ensure platform reliability. • Troubleshoot and resolve data issues and performance bottlenecks across real-time and batch analytics pipelines. • Govern SAS Viya content, data access, environment promotions, and release management. • Lead and mentor SAS Viya administrators and platform engineers, establishing SOPs and best practices. • Contribute to technical documentation, code/configuration reviews, and continuous platform improvement.

Role Description 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 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 such as CISA, CISM, CRISC, or CGEIT are highly desirable 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) Benefits - 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, dependent on experience - 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.