What You Will Do
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Lead execution of the AI strategy in alignment with HGAI mission, principles, and enterprise priorities.
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Work with the Chief Information and AI Officer to continuously evolve the enterprise AI strategy, roadmap, and operating model.
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Own and manage the AI use-case intake process, prioritization approach, and delivery pipeline to ensure measurable business value.
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Establish disciplined governance to track outcomes, risks, and benefits realization.
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Own and maintain a comprehensive inventory of AI solutions, models, vendors, use cases, and related governance documentation.
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Implement lifecycle management practices aligned to HGAI principles of sustainability and accountability.
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Conduct periodic reviews to ensure all AI solutions remain effective, relevant, and monitored for performance, risk, and unintended drift.
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Embed responsible AI practices in coordination with Enterprise Risk Management.
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Own and maintain AI governance documentation, including intake processes, guardrails, standards, decision records, approval workflows, and inventory controls.
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Provide guidance and oversight to ensure the AI Security Specialist’s work is integrated into AI solution design, deployment, and ongoing governance, whether through direct or matrixed accountability.
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Ensure alignment with internal AI policies, HGAI guiding principles, and regulatory expectations, including OSFI and NIST guidance or frameworks.
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Oversee bias testing, explainability, model risk management, and regulatory documentation.
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Lead, coach, and develop the initial team of two ML/AI Specialists, setting clear priorities, expectations, and delivery standards.
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Provide day-to-day direction, technical guidance, and performance oversight to support high-quality execution of AI initiatives.
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Build team capability in responsible AI practices, solution delivery, model governance, and business-focused problem solving.
Please note, salary range is not inclusive of total compensation. The expected salary range for this position will be impacted by factors such as the successful candidate’s skills, experience and working location, as well as the specific position’s business line, scope and level. Candidates with salary expectations outside of the range are encouraged to apply.
Who You Are
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Bachelor's Degree in Computer Science, Data Science, Engineering, Information Systems, or a related field; equivalent experience will be considered.
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10+ years of experience in technology, data, or AI leadership roles.
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Proven delivery of AI, machine learning, or advanced analytics solutions from concept through production in financial services, insurance, or other regulated environments.
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Strong understanding of AI governance, risk management, and compliance frameworks.
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Hands-on experience with AI technologies, cloud and data platforms, and model lifecycle practices, including MLOps or LLMOps.
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Familiarity with OSFI expectations or similar regulatory environments.
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Demonstrated experience leading technical teams, managing vendors, and influencing senior stakeholders across business, technology, risk, and security functions.
Please note that internal applicants are asked to formally express their interest by applying online no later than 10 business days of the position being posted.
Please note that we may use AI tools to help us through the recruitment process.
