Remote AI Governance & Programs Jobs in Canada

Requirements

• Proficient programming skills in Python
• Strong SQL skills and experience working with cloud data platforms
• Ability to work independently across unfamiliar domains and ramp up quickly
• Strong communication and interpersonal skills
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Strong knowledge of IT governance frameworks and standards
• Proficiency with IT governance, risk, and compliance tools
• Excellent written and verbal communication skills
• Ability to manage multiple priorities in a fast-paced environment
• Demonstrated ability to develop and implement AI policies, procedures, and controls

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Professional Development
• Remote Work
• Retirement Plan
• Training Budget

Skills

Requirements

• Detail-oriented and enjoy accuracy-based work
• Can follow instructions carefully and apply them consistently
• Comfortable working independently with minimal supervision
• Strong reading comprehension and critical thinking skills
• Communicate clearly and respond to feedback professionally

Skills

Requirements

• Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio.
• Provides effective challenge during model development and communicates decisions regarding model use to the business to ensure transparency and understanding of models and model risks.
• Assesses model's capabilities, stress points and limitations; assesses the associated model risk and the controls in place to mitigate identified risks.
• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviour that fosters diversity and inclusion.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance
• Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks
• Apply professional judgment to determine control effectiveness, identify control gaps, and assess residual risk
• Provide risk, control, and process advisory support to business and technology partners related to Data and AI governance
• Advise on control design, control enhancements, and process improvements to address identified risks or emerging governance expectations

Benefits

• 401k Matching
• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Paid Time Off

Skills

Requirements

• Conduct and review AI risk assessments
• Develop effective AI risk mitigation plans
• Provide AI risk advisory services
• Ensure AI solutions are appropriately risk-assessed
• Work collaboratively with technology and business teams

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Bachelor's degree in Finance, Mathematics, Engineering, Computer Science, Economics, or related field.
• Strong analytical ability and attention to detail.
• Experience reviewing spreadsheets, calculators, or rules-based tools.
• Familiarity with operational risk or model risk governance principles.
• Strong communication and documentation skills.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• Conduct and review AI risk assessments
• Develop effective AI risk mitigation plans
• Provide AI risk advisory services
• Ensure all AI solutions are appropriately risk-assessed
• Work collaboratively with technology and business teams
• Ensure all CIBC AI Governance requirements are adhered to

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget

Skills

Requirements

• Data Governance experience
• AI Governance experience
• Risk Management experience
• Data Quality experience
• Data Catalog experience
• Metadata Management experience
• Collaboration with data engineers
• Development and maintenance of data catalog

Benefits

• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours

Skills

Requirements

• Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance
• Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks
• Perform reperformance testing, sampling, and evidence validation to assess control execution
• Apply professional judgment to determine control effectiveness and identify control gaps
• Lead and conduct walkthroughs with control owners and stakeholders to understand end-to-end processes related to in-scope control activities
• Analyze and assess business and governance artifacts, including data governance policies, standards, and procedures, data lineage and data quality documentation, AI governance artifacts

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Design and implement advanced evaluation methods for LLMs and ML systems
• Build and maintain high-quality evaluation datasets, golden sets, challenge sets, and red-teaming corpora
• Develop reusable evaluation harnesses and pipelines that support multi-agent workflows, tool use, and retrieval-augmented generation scenarios
• Conduct empirical analyses, including statistical tests, error analysis, and ablation studies, to identify model weaknesses and guide model and product improvements
• Integrate evaluation metrics and signals into model training loops, deployment gating checks, and continuous monitoring processes
• Prototype and validate novel evaluation algorithms inspired by current research in LLM safety, interpretability, and reliability
• Produce clear, actionable evaluation reports that translate technical findings into insights for engineering, modeling, product, and business stakeholders

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• 8+ years of relevant experience in risk management, governance, controls, technology risk, model risk, data risk, compliance, or related disciplines
• Strong understanding of AI / ML / GenAI use cases and governance considerations
• Deep familiarity with enterprise governance processes, control frameworks, and first line risk ownership in a regulated environment

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Help set up and maintain the model governance framework covering the entire model life cycle
• Contribute to the sound management of model risk throughout the model life cycle
• Update the annual model risk assessment and suggest improvements to the methodology as needed
• Maintain an inventory of models and obtain the required information from stakeholders
• Participate in annual planning to support model governance and propose an annual plan to update the inventory

Skills

Requirements

• Help set up and maintain the model governance framework covering the entire model life cycle
• Contribute to the sound management of model risk throughout the model life cycle
• Update the annual model risk assessment and suggest improvements to the methodology as needed
• Maintain an inventory of models and obtain the required information from stakeholders
• Participate in annual planning to support model governance and propose an annual plan to update the inventory

Skills

Requirements

• Lead customer delivery of AI Governance solutions to enterprise clients
• Architect an outcome-based delivery model from scratch
• Manage and evolve the existing professional services business
• Build a high performance team
• Work closely with the CRO to close enterprise customers
• Design the end-to-end AI Governance Platform delivery model
• Develop onboarding frameworks, success metrics, and value pricing

Benefits

• Performance Bonus
• Equity
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Remote Work

Skills

Requirements

• 3+ years of experience in Financial Risk, Climate Science or Environmental Consulting
• Advanced degree (Master’s/PhD) in a quantitative, technical, or interdisciplinary discipline
• Expertise in climate physical and/or transition risk analysis
• Passion for applying innovative data analytics and strong programming skills
• Ability to develop quantitative models and perform scenario analysis
• Collaboration with internal stakeholders and vendors

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• 5+ years of relevant experience
• Strong understanding of machine learning and Gen AI methodologies
• Proficient knowledge of model development, governance, and productionalization process
• Strong Power BI and SQL skills for maintaining model performance dashboard
• Typically a post-secondary degree in related field of study or an equivalent combination of education and experience

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• Research, validate, and apply new techniques in testing deep learning models applied to tabular/structured datasets.
• Stay up to date with advancements in the field of AI including major publications, foundation models, evaluation metrics, explainability, technology stacks, and datasets.
• Develop/implement AI/ML model validation methodologies and standards, especially for Tabular Deep Learning / Foundation models.
• Work in Distributed Cluster / Cloud environments with large-scale datasets ranging from transactions to large document collections.
• Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives.
• Implement benchmark models as applicable.
• Conduct R&D in the area of Tabular Deep Learning and Foundation Models evaluation, testing, explainability.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Bachelor's degree in Mathematics, Statistics, Finance, or a related field
• Certification in Financial Risk Management (FRM) is an asset
• 2-5 years of experience with statistical modeling tools and techniques
• Experience with credit risk management or OSFI regulations including expected credit loss, capital adequacy requirements and stress testing
• Expert statistical modeling techniques including experience with Python, AWS and Github
• Proficient in written and verbal communication skills

Benefits

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Paid Time Off
• Sick Leave

Skills

Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
• 4 plus years of hands-on experience in developing and deploying machine learning models
• Ability to write scalable production-quality code
• Proficiency in classical machine learning methods and familiarity with newer techniques like LLMs
• Excellent programming skills in Python, Java, or similar languages
• Experience with machine learning frameworks such as TensorFlow, PyTorch
• Apply a range of techniques—from classical ML to LLM-based approaches (RAG, prompt engineering, fine-tuning, semantic search)—with a strong focus on reliability, performance, and maintainability
• Write well-designed, maintainable, and testable code

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• 7+ years of experience in engineering or data science roles
• Strong programming skills (e.g., Python, Java, or similar)
• Experience building and maintaining evaluation pipelines for large language models (LLMs) and/or other AI systems
• Solid understanding of deep learning concepts, model training, and deployment practices
• Familiarity with MLOps, CI/CD, and cloud-based AI infrastructure is a plus
• Experience driving initiatives and collaborating with cross-functional teams

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance
• Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks
• Perform reperformance testing, sampling, and evidence validation to assess control execution
• Apply professional judgment to determine control effectiveness and identify control gaps
• Lead and conduct walkthroughs with control owners and stakeholders to understand end-to-end processes related to in-scope control activities
• Analyze and assess business and governance artifacts, including data governance policies, standards, and procedures, data lineage and data quality documentation, AI governance artifacts

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Bachelor's degree in Business, Computer Science, Human Resources, or a related field
• 5+ years of practical experience in Program or Project Management
• Proven hands-on experience in data governance, AI governance, IT risk management, or compliance within a large, matrixed enterprise
• Demonstrated experience designing, building, and operationalizing standardized workflows, risk assessment playbooks, or centralized intake processes from scratch
• Experience leading and coordinating cross-functional stakeholder groups to reach consensus
• Previous experience working within an HR/People function or deep familiarity with HR data systems and privacy regulations

Benefits

• 401k Matching
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours

Skills

Requirements

• 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Knowledge of model risk regulatory guidance (e.g., SR 11-7, OSFI E-23) and understanding of model development/validation concepts.
• Experience designing and enforcing governance controls, processes, or overs
• Lead the development, enhancement, and enforcement of enterprise model governance policies, standards, and procedures aligned with regulatory expectations.
• Oversee and improve end-to-end governance processes including model intake, approval, tiering, periodic reviews, ongoing monitoring, and decommissioning.
• Establish quality assurance processes to ensure compliance with governance requirements across Model Development, Validation, and Business Owners.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills