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Ai Program Manager Jobs in Quebec (NOW HIRING)

Manage project delivery: scope definition, technical roadmaps, and deployment risk mitigation ... Structured Onboarding Program: We're invested in your success; you'll have team members to support ...

Collaborate closely with data teams to define requirements, manage feature stores, and ensure the ... Nous offrons un programme d'integration de premier ordre ainsi qu'un environnement de travail ...

The technologies and programs in which we invested have provided a fantastic foundation to this end ... management challenges and we are currently looking for a Senior AI / ML Developer to join the team ...

Design and deploy training programs and strategic content. * Coach and mentor consultants while ... Manage day-to-day client relationships. * Plan, coordinate, and oversee project activities.

Bachelor's degree or completion of a college program in a related discipline * 10 years of ... management. * 5 years of experience on Databricks and large-scale big data projects (Delta Lake ...

$90 - $130/hr

TrendAI™, the global AI security leader and enterprise business unit of Trend Micro, empowers ... Tailor messaging to resonate with agency CISOs, mission owners, program managers, and federal ...

New

Recognition & wellness programs for employees. * Company organized activities. Key activities ... Build and manage the portfolio of analytics and AI products that compound the value of the data ...

$110 - $150/hr

... AI security platform to the unique risks, operating realities, and procurement drivers of the ... Tailor messaging to resonate with agency CISOs, mission owners, program managers, and federal ...

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Ai Program Manager information

Will AI replace program managers?

AI program managers oversee the integration of AI tools into project workflows, coordinate teams, and manage timelines. While AI can automate routine tasks and support decision-making, human oversight remains essential for strategic planning, stakeholder communication, and complex problem-solving. The role is evolving to include managing AI systems rather than being fully replaced by them.

What does an AI program manager do?

An AI program manager oversees the planning, development, and implementation of artificial intelligence projects within an organization. They coordinate cross-functional teams, manage project timelines, and ensure AI solutions meet business objectives, often requiring knowledge of machine learning, data analysis, and project management tools. Their role involves balancing technical understanding with strategic oversight to deliver effective AI initiatives.

Which 3 jobs will survive AI?

For an AI Program Manager, roles that require complex strategic decision-making, emotional intelligence, and creative problem-solving are likely to persist, such as executive leadership, specialized healthcare professionals, and creative roles like designers or writers. These jobs involve nuanced human judgment and interpersonal skills that AI currently cannot replicate fully. Continuous learning and adaptability are essential to stay relevant as AI advances.

What are the key skills and qualifications needed to thrive as an AI Program Manager, and why are they important?

To thrive as an AI Program Manager, you need expertise in project management, a strong understanding of AI concepts, and experience leading cross-functional teams, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, agile methodologies, and certifications such as PMP or Scrum Master are highly valuable. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These abilities ensure projects are delivered on time, align with business goals, and effectively bridge the gap between technical and non-technical teams.

What is the difference between Ai Program Manager vs Data Scientist?

AspectAi Program ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI projectsBachelor's/Master's/PhD in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentOversees AI projects, collaborates with cross-functional teams, manages timelinesAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Ai Program Manager focuses on overseeing AI initiatives and project management, whereas the Data Scientist concentrates on data analysis and model development. The roles often collaborate but serve different functions within AI projects.

What are some common challenges faced by AI Program Managers when coordinating cross-functional teams?

AI Program Managers often encounter challenges in aligning diverse teams—such as data scientists, engineers, product managers, and business stakeholders—toward shared project goals. Differences in technical backgrounds, communication styles, and priorities can lead to misunderstandings or delays. Successful AI Program Managers proactively facilitate clear communication, set well-defined milestones, and ensure that all team members understand the project's objectives and constraints. Building strong relationships across departments and maintaining adaptability are key strategies for overcoming these challenges.

What is an AI Program Manager?

An AI Program Manager is a professional responsible for overseeing and coordinating the planning, execution, and delivery of artificial intelligence projects within an organization. They work closely with data scientists, engineers, stakeholders, and business leaders to ensure AI initiatives align with business goals and are delivered on time and within budget. Their role often includes managing project timelines, resources, communication, and risk, while also keeping up with industry advancements and ensuring ethical AI practices. AI Program Managers bridge the gap between technical teams and business objectives, ensuring successful implementation of AI solutions.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI Program Manager or senior AI executive, that offers a total compensation package including salary, bonuses, and stock options. These roles often require extensive experience, advanced skills in machine learning, leadership, and strategic planning, and are usually found in large tech companies or innovative startups. Such compensation reflects the high demand and specialized expertise in the AI industry.
What are popular job titles related to Ai Program Manager jobs in Quebec? For Ai Program Manager jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Ai Program Manager jobs in Quebec look for? The top searched job categories for Ai Program Manager jobs in Quebec are:
Infographic showing various Ai Program Manager job openings in Quebec as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution.

Model Risk Governance Specialist AI

National Bank

Montreal, QC • Hybrid

Full-time

Medical, Retirement

Re-posted 22 days ago


Job description

A career as a Model Risk Governance Specialist - AI Governance in the Model Risk Management team at National Bank means acting as a governance specialist for artificial intelligence, machine learning, generative AI and other advanced analytics models. In this role, you will contribute to the oversight and enhancement of the Bank’s model risk governance framework, with a specific focus on ensuring that AI models and AI-enabled solutions are appropriately identified, assessed, classified, documented, monitored, controlled and reported throughout their lifecycle. Your job As a Model Risk Governance Specialist which a focus on AI Governance, you will: Support the development, implementation and continuous enhancement of the Bank’s AI model governance practices for artificial intelligence, machine learning, generative AI, large language models and other emerging model types within the model risk management framework. Perform, review and challenge risk assessments for AI models and AI-enabled use cases, considering inherent risk, materiality, complexity, data sensitivity, explainability, usage, business impact, model limitations, control environment and potential customer, operational, compliance or reputational risks. Contribute to the development and ongoing enhancement of AI model risk assessment methodologies, including risk-tiering criteria, scoring logic, questionnaires, decision criteria, assessment templates and supporting documentation. Help define and maintain lifecycle governance controls for AI use cases, including intake, ownership, documentation standards, approval, validation requirements, ongoing monitoring, human oversight, issue management, escalation and retirement. Collaborate with model owners, model developers, validators, technology, data, privacy, cybersecurity, compliance, legal, operational risk and business stakeholders to ensure AI-related risks are identified, assessed and managed in alignment with internal and regulatory requirements. Support the integration of AI governance requirements into model inventory and workflow processes, ensuring that AI models and AI-enabled solutions are accurately captured, classified, monitored and reported. Monitor changes in the AI model portfolio, including new use cases, material changes, validation outcomes, approval status, monitoring results, remediation actions and model retirements. Prepare governance reporting, dashboards and presentations on AI model risk exposure, risk assessment results, portfolio trends, emerging risks, issues and remediation progress for senior management and governance committees. Identify governance gaps, control weaknesses and opportunities to improve AI model governance, and recommend practical enhancements to policies, standards, procedures, tools, controls and reporting. Support change management activities related to AI governance, including stakeholder communications, training material, implementation support, advisory guidance and adoption monitoring. Monitor industry practices, audit observations and evolving expectations related to AI governance and model risk management, and assess their impact on the Bank’s governance framework. Promote a strong model risk culture by influencing stakeholders, challenging practices when required and supporting consistent application of AI governance requirements across the organization. Your team Within the Model Risk Management group, you are part of a team of professionals who provide second line of defence oversight for model risk across the Bank. You report to the Senior Director, Model Risk Governance. Our team stands out for its analytical rigour, proactive governance mindset, collaborative approach and ability to influence model stakeholders across the Bank. We ultimately aim to offer you maximum flexibility and quality of life. This notably means a hybrid work environment, as well as adaptable working hours. The Bank values continuous development and internal mobility. Our personalized training programs enable you to master your job and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center as well as coaching and mentoring support are available to you at all times. Requirements Hold a Bachelor’s degree in finance, economics, mathematics, statistics, engineering, computer science, data science, risk management or a related field and 7 years of relevant experience; OR a master’s degree in a quantitative, finance, technology or risk-related field and 5 years of relevant experience. Experience in model risk management, AI governance, risk governance, model validation, quantitative analysis, analytics governance, technology risk, internal audit, compliance or regulatory governance in financial services. Strong knowledge of model risk management principles, including model lifecycle governance, model identification, classification, inventory management, validation, approval, monitoring, issue management and reporting. Knowledge of AI governance, machine learning models, generative AI risks, responsible AI practices, model explainability, data risk, model limitations and control design. Experience performing or reviewing risk assessments, including inherent risk assessments, materiality assessments, risk-tiering methodologies, control assessments or governance reviews. Experience contributing to policies, standards, procedures, governance frameworks, risk assessment methodologies, dashboards, management reporting or change management initiatives. Strong analytical skills with the ability to synthesize complex information, identify key risks and translate technical topics into clear conclusions, recommendations and action plans. Ability to influence and collaborate with senior stakeholders, business lines, model owners, validators, technology teams, risk partners, compliance, legal, cybersecurity, privacy and internal audit. Advanced proficiency with Microsoft Office, especially Excel and PowerPoint; experience with data analysis, BI tools, SQL, Python or workflow/GRC platforms is an asset. Excellent written and verbal communication skills. Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as: * Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and family assistance program * Preferential banking services * Involvement in community initiatives * Telemedicine service * Virtual sleep clinic We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged. Making a bold move in a people-first environment We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees. We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team? Join us!