RBC

Job Description What is the opportunity? RBC's AI Innovation team, within Technology & Operations, designs and delivers agentic AI solutions that transform how Risk and Compliance functions operate. We engage stakeholders to identify pain points and build AI-powered solutions – from intelligent document analysis and automated report generation to virtual agents that handle complex, manually intensive tasks. Working alongside subject matter experts, product owners, and engineering teams, we leverage large language models, agentic frameworks, and cloud infrastructure to bring these solutions to production. This is a roving, high-impact role that will require parachuting into any risk or compliance domain area to deliver AI solutions. It is ideal for someone who is energized by building AI-powered automation and decision-making solutions. The challenges will be a mix of building from scratch and integrating existing systems. What will you do? Development: Design, build, and deploy agentic AI systems using Python, large language models, and modern AI frameworks. You will prototype rapidly and iterate solutions into production-grade systems that can interpret natural language queries, retrieve and validate information, automate complex analysis, and triage alerts. Stakeholder Engagement: Partner with subject matter experts, product owners, and business stakeholders across risk and compliance to understand pain points, scope solutions, and deliver working software that addresses real operational needs. Infrastructure: Build and maintain data pipelines, automated workflows, and integrations on cloud platforms (AWS, Snowflake). Establish and promote best practices related to MLOps, tooling, and deployment. Research & Innovation: Stay current with advances in LLMs, agentic frameworks, and AI tooling. Apply emerging techniques to real-world problems, develop reusable tools and packages, and share insights with the team. What do you need to succeed? Must-have Proficient programming skills in Python; comfortable writing clean, production-quality code 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 Nice-to-have Experience with large language models or agentic AI frameworks such as LangGraph, PydanticAI or CrewAI Familiarity with AI-assisted development tools and agent protocols (e.g., MCP) Experience with AWS services, Snowflake, or similar cloud infrastructure Background in risk management, compliance, or financial services Experience with version control, CI/CD, and software engineering best practices What's in it for you? As a team, we thrive on the challenge to be our best, encourage progressive thinking for continued growth, and collaborate with one another to deliver trusted advice to help our clients thrive and our communities prosper. We respect and care about all of our team members and support one another in reaching our fullest potential. This opportunity will provide you with: Leaders who support your development through coaching and managing opportunities Flexibility to work on projects that you are passionate about Ability to make a difference and lasting impact Work in a dynamic, collaborative, progressive, and high-performing team Opportunities to do challenging work across a variety of domains Job Skills Artificial Intelligence (AI), Big Data Management, Collaboration, Communication, Data Modeling, Data Science, Decision Making, Deep Learning, Innovative Solutions, Logical Data Modeling, Machine Learning (ML), Predictive Analytics, Programming Languages, Relationship Building Additional Job Details Address: 120 WESTERN PKY:BEDFORD City: Bedford Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-04-14 Application Deadline: 2026-06-15 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.

What is the opportunity?  

As an Associate Director, Enterprise Model Risk Management (EMRM) in our Group Risk Management (GRM) team, you will execute and document validations of the Bank’s enterprise-wide credit risk rating systems and methodologies, with focus on Wholesale and Retail credit risk systems, including acquisition & account management models, as well as Wholesale, Retail, and Margin Lending AIRB parameters (Probability of Default (“PD”), Loss given Default (“LGD”) and Exposure at Default (“EAD”)) used in both regulatory and economic capital. You will develop and implement tools and methodologies required to underpin credit risk systems and parameters validation, and provide insightful robust analyses of credit risk systems, acquisition & account management models and risk quantification validations.

What will you do? 

• Perform ongoing Wholesale and Retail credit risk systems including acquisition & account management models as well as parameters validations and provide insightful analysis of validation results

• Perform a wide range of data reconciliations and analyses, e.g. organizing, interpreting and analyzing data using various statistical techniques catered for validation purposes   

• Execute and document appropriate quantitative and qualitative tests, review of the logic and conceptual soundness of credit risk rating systems, acquisition & account management models, as well as parameters and their inputs, accuracy, sensitivity, back testing, benchmarking etc.

• Develop and enhance approaches tailored to timelines and data availability, utilizing detailed or 80/20 solutions, and quantitative and/or qualitative approaches, as appropriate

• Deliver validation findings and elicit feedback and remediation action plans / solutions from model stakeholders

• Ensure project and risk objectives are accomplished within approved timeframes and complied with regulatory requirements, model risk policy and model operating standards

What do you need to succeed?

Must-have  

• Model development or model validation experience, preferably related to credit risk models used within the financial services industry. A strong understanding of credit risk modeling theories, principles and industry best practices.

• Strong conceptual, analytical, detailed oriented and problem-solving skills

• Strong computer skills – Python, SAS, SQL and Excel required; similar open-source programming languages (i.e. R, or Scala, PySpark) and code sharing solutions (Github) are essential

• Solid understand various data system structures/processes and how they affect the inputs and outputs of credit risk data. Comfortable working with large data sets

• Experience with artificial intelligence / machine learning modeling techniques as well as logistic regression modeling techniques; experience with Python modules used in training deep learning models (e.g. torch).

• Effective presentation and communication skills, with strong written capabilities essential. Strong consensus-building skills. Works well in teams

• Execute with urgency while maintaining quality and efficiency; adapt to shifting priorities, coupled with a sense of urgency

• Post graduate degree in a quantitative field of study (i.e. PhD, Master of Mathematical Finance, Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field).

Nice-to-have 

• Ability to work in Unix, Teradata Data Warehouse and/or Hive Data Lake environments

• Experience with Hadoop, Spark and similar data storage and processing tools. Experience with deep learning methodologies. Familiar with Tableau or other data visualization tools

• Familiar with object-oriented programming concepts

• Exposure to credit risk system design and OSFI’s CAR guideline is a definite asset

• A strong understanding of RBC’s policies, procedures, systems, risk appetite, risk tolerance, strategies and the overall role of risk management within RBC is an asset.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

• Leaders who support your development through coaching and managing opportunities.

• Ability to make a difference and lasting impact.

• Work in a dynamic, collaborative, progressive, and high-performing team.

• A world-class training program in financial services.

• Opportunities to do challenging work, including leveraging AI and SRE principles to drive innovation and operational excellence.

#LI-Post

#TECHPJ

Job Skills

Backtesting, Credit Ratings, Credit Risks, Critical Thinking, Data Analysis, Financial Regulation, Loss Given Default, Model Risk, Probability of Default, Python (Programming Language), Quantitative Methods, Regulatory Requirements, Retail Credit, Risk Management, Risk Ratings, Statistical Analysis Techniques

Additional Job Details

ROYAL BANK PLAZA, 200 BAY ST:TORONTOTorontoCanada37.5Full timeGROUP RISK MANAGEMENTRegularSalaried2026-03-242026-04-13

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

What is your opportunity?

As Associate Director, Enterprise Model Risk Management (EMRM) in our Group Risk Management (GRM) team, you will be responsible for end-to-end execution and documentation of credit risk model validation projects within RBC’s Canadian Banking platform. Your role is to independently assess and provide an objective opinion on the soundness of credit risk models using both qualitative and quantitative industry best practices. Specific activities include collaborating with model developers, opining on the adequacy of model documentation, assessing the suitability of models for their intended purpose, reviewing data inputs and outputs, building benchmark models to support validation conclusions, ensuring compliance with internal policies as well as regulatory requirements, communicating validation results, and providing recommendations for improvements.

What will you do?

• Perform initial review and validation of newly developed credit models and make recommendations supporting use of the model.

• Employ various quantitative and qualitative techniques to review, test, replicate, challenge, benchmark and assess credit risk models.

• Utilize strong analytical and written communication skills to execute ongoing model validations once models reach their expected outcome period for all Canadian Banking credit risk models as governed by RBC’s Enterprise Model Risk Management policy.

• Develop comprehensive reports summarizing key observations, conclusions, and recommendations in support of completed model validations.

• Ensure model validations are planned and completed in accordance with timelines established in the Enterprise Model Risk policy based on each model’s materiality and uncertainty rating.

What do you need to succeed?

• 3 + years of model development or model validation experience, preferably related to credit risk models used within the financial services industry.

• Hands-on experience with artificial intelligence / machine learning modeling techniques (deep learning, XGboost) as well as logistic regression modeling techniques.

• Proficient Python programmer with a proven track record of delivering high-quality code.

• Comfortable working with large data sets. Solid understanding of data extraction and data mining, proficiency in SQL.

• Strategic thinker with superior interpersonal, verbal and written communication skills and with strong consensus-building skills.

• Post graduate degree in a quantitative field of study (i.e. PhD, Master of Mathematical Finance, Statistics, Computer Science, Applied Mathematics, Data Science or comparable).

Nice-to-Haves:

• Knowledge of Canadian retail banking products and processes. A strong understanding of retail credit risk modeling theories, principles and industry best practices.

• A strong understanding of RBC’s policies, procedures, systems, risk appetite, risk tolerance, strategies and the overall role of risk management within RBC is a definite asset.

• Experience with Hadoop, Spark, object storage solutions. Familiar with Tableau or other data visualization tools. Experience with version control tools (git).

What’s in it for you?

We thrive on the challenge to be our best, thinking progressively to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Work in an agile, collaborative, progressive, and high-performing team

• The opportunity to interface with executives from many different parts of the organization

Job Skills

Critical Thinking, Economic Analysis, Risk Control, Scoring Models

Additional Job Details

ROYAL BANK PLAZA, 200 BAY ST:TORONTOTorontoCanada37.5Full timeGROUP RISK MANAGEMENTRegularSalaried2026-02-222026-03-28

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

What is the opportunity?
As Director, AI Governance, you will play a key leadership role in enabling the safe, responsible, and scalable adoption of AI across Group Risk Management (GRM). This is a first line governance role supporting the AI Innovation-X team and broader risk stakeholders in navigating enterprise governance requirements, accelerating approvals, and embedding strong controls across the AI lifecycle.

You will act as a trusted advisor to risk teams, helping translate governance expectations into practical execution so that AI initiatives can move forward with appropriate risk management, clear accountability, and operational readiness. You will report to the Managing Director, Head of AI Innovation-X (Center of Excellence) in GRM.

What will you do?

• Provide strategic first line AI governance leadership to enable responsible and safe AI adoption across GRM.
• Lead the end-to-end governance journey for AI Innovation-X initiatives, including navigating key enterprise governance forums, challenge processes, and approvals (including AIWF and IRP).
• Partner with Technology and platform teams to secure required IT, architecture, and platform approvals for AI solutions, including pathways involving Athena, ACA/OCP, Lumina Gateway, and other enterprise platforms.
• Advise teams on RBC data classification, data risk, privacy, and related control requirements, and provide practical guidance on how to sequence initiatives based on governance, data, and technology constraints.
• Act as a trusted advisor to GRM stakeholders on the governance, approval, and control requirements applicable to different AI use cases.
• Develop and enhance AI governance playbooks, standards, and operating practices, while partnering closely with 2nd line AI Governance, Risk, Compliance, Privacy, Cyber, Legal, and Technology teams to improve process effectiveness and efficiency.
• Be aware of external AI regulatory regimes across jurisdictions.
• Oversee AI governance across the lifecycle, including production readiness assessments, launch recommendations, post-production monitoring, change governance, incident escalation, periodic review, and re-approval triggers.

What do you need to succeed?

Must Have:

• 8+ years of relevant experience in risk management, governance, controls, technology risk, model risk, data risk, compliance, or related disciplines, ideally within a large financial institution.
• Strong understanding of AI / ML / GenAI use cases and governance considerations, particularly for foundation models, LLM-enabled workflows, and AI-assisted decision support.
• Deep familiarity with enterprise governance processes, control frameworks, and first line risk ownership in a regulated environment, with the ability to embed governance into delivery workflows pragmatically.
• Experience with data classification, data governance, privacy, and information security requirements, including navigating risk assessments for different categories of data.
• Proven ability to lead complex, cross-functional initiatives with strong judgment, executive communication, and stakeholder management across first line and second lines; experience supporting governance for production applications and change management is an asset.

Nice-to-Have:

• Experience designing or running AI governance frameworks for GenAI, LLM, or emerging AI capabilities.
• Familiarity with governance considerations related to agentic workflows, model documentation tools, and AI-enabled productivity solutions.
• Strong understanding of the interaction between business governance, technology governance, model risk, data risk, and privacy in enterprise AI deployment.
• Experience building scalable governance playbooks that improve both control effectiveness and delivery efficiency.
• Ability to balance innovation enablement with prudent risk management in a fast-evolving environment.

What is in it for you?
We thrive on the challenge to be our best, progressive thinking, to keep growing, and working together to build and deliver trusted reporting to help our stakeholders succeed and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• Opportunities to take on progressively greater accountabilities

Job Skills

Business Perspective, Client Counseling, Data Gathering Analysis, Decision Making, Fraud Management, Internal Controls, Organizational Governance, Process Management, Risk Management, Strategic Thinking

Additional Job Details

ROYAL BANK PLAZA, 200 BAY ST:TORONTOTorontoCanada37.5Full timeGROUP RISK MANAGEMENTRegularSalaried2026-03-122026-03-28

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

What is the opportunity?

Global Risk Analytics (GRA) is the center of expertise for models used in risk management, covering market risk, counterparty credit risk, and emerging risk. The GRA Climate Risk Modelling and Model Governance team is responsible for the conceptualization, design, implementation, and maintenance of both physical and transition climate risk modeling frameworks.  These models serve as fundamental tools for quantifying and assessing climate related risks across the enterprise. The team's scope includes alignment with evolving regulatory expectations, compliance requirements, and adherence to established industry best practices and methodological standards.  

The team also provides governance of departmental activities and support GRA senior management in developing strategic plans, tracking progress, and compiling reports on model enhancement and development projects.

GRA is seeking an individual who is an expert in climate physical and/or transition risk analysis and is passionate about applying innovative data analytics and strong programming skills to enhance our climate risk analytics capabilities.

Your responsibilities will cover both Climate Risk Modelling and GRA Model Governance activities.

What will you do?

• Develop quantitative models and perform scenario analysis to estimate transition and physical risk of climate change (with focus on wildfire, flooding, storm, earthquake, etc.) on Bank’s corporate and retail lending portfolios.
• Perform data processing, statistical analysis, modeling and visualization using Geographic information system (GIS) software.
• Collaborate with internal stakeholders to determine business needs, source data, integrate models into Bank’s processes, and supporting stress testing functions.
• Collaborate with vendors including external data providers to integrate and validate their outputs, while conducting comprehensive benchmarks using open-source hazard datasets.
• Build, enhance, and automate processes to facilitate ongoing monitoring and maintenance of models. Execute quarterly/monthly processes and be accountable for the timely analysis of results. Handle ad hoc request as required.
• Document all models and processes developed and work with the model validation team to ensure timely and successful validation.
• Support Model Governance and Integration processes within Global Risk Analytics to ensure it operates with high efficiency and meets requirements of Second and Third lines of defence.
• Support GRA senior management in developing strategic plans, tracking progress, and compiling reports on model enhancement and development projects.

What do you need to succeed?

Must-have

• 3+ years of experience in Financial Risk, Climate Science or Environmental Consulting
• Advanced degree (Master’s/PhD) in a quantitative, technical, or interdisciplinary discipline (e.g., Statistics, Financial Engineering, Applied Mathematics, Climate Science, Spatial Analysis, Computer Science);
• Experience with data science, probabilistic modelling, and ability to manipulate large amounts of data;
• Experience independently building quantitative models including climate hazard models;
• Research oriented mindset;
• Familiarity with Spatial Data Analysis and experience with Geographic information system (GIS) software;
• Proficiency in Python/R;

• Solid statistical and mathematical knowledge with attention to details;
• Strong communication skills and ability to communicate with variety of stakeholders.

Nice-to-have

• Familiarity with climate related financial regulations;
• Hands-on experience with RCP (Representative Concentration Pathways), SSP (Shared Socioeconomic Pathways) scenarios, and CMIP5/6 datasets;
• Experience working with geographical data structures like NetCDF, Raster, Shape files;
• Familiarity with geographic data processing packages including Fiona, GeoPandas, Shapely, Rasterio, Xarray, and GDAL;
• To be a team player ready to collaborate and innovate;
• Understanding of the overall risk management function within a bank;
• Knowledge of financial products in banking and trading book.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• Leaders who support your development through coaching and managing opportunities.
• Ability to make a difference and lasting impact.
• Work in a dynamic, collaborative, progressive, and high-performing team.
• Opportunities to do challenging work and make a difference.
• Opportunities to building close relationships.

Job Skills

Critical Thinking, Data Science, Financial Instruments, Financial Regulation, Geographic Information Systems (GIS), Quantitative Methods, Risk Management, Risk Modeling, Spatial Analysis, Statistical Analysis

Additional Job Details

ROYAL BANK PLAZA, 200 BAY ST:TORONTOTorontoCanada37.5Full timeGROUP RISK MANAGEMENTRegularSalaried2026-03-102026-03-28

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Job Description What is the opportunity? Joining the Data Science & AI Solutions team in HR, you will own the end-to-end execution and operationalization of the People & AI Governance “front door” for People AI solutions. You will establish the guidelines, templates, and standardized workflows that ensure consistent, scalable onboarding of People AI use cases. In this role, you will be accountable for building and running a repeatable intake-to-approval workflow, standardizing evidence requirements and risk assessments, and maintaining practical guidance that helps teams move efficiently while meeting risk, compliance, and employee trust expectations. What will you do? Manage the centralized intake process end-to-end, ensuring all People AI use cases are captured consistently, assessed early for risk tiering, and routed to the appropriate governance path. Maintain and optimize intake artifacts, including intake forms, triage criteria, risk-tiering rubrics, backlog sequencing, and reporting. Develop and continuously improve a risk assessment playbook and checklist to standardize evidence requirements across privacy, legal, fairness, model risk, security, and operational controls. Coordinate across cross-functional stakeholders to ensure the review workflow is practical, repeatable, and “audit-ready” for priority use cases, vendor solutions, and internal builds. Produce and maintain clear First Line of Defense (1LoD) guidelines for the responsible use of People Data in AI, defining prohibited use cases and required guardrails. Translate enterprise policy and risk requirements into actionable templates, "how-to" guidance, and enablement sessions for product teams and delivery squads. Drive program execution by managing the delivery plan, timelines, meeting cadences, and cross-functional dependencies (e.g., HR IT, vendors, change management). Coordinate governance submissions, ensuring the readiness of evidence packs for oversight review, and produce consistent reporting on intake volume, cycle times, and milestones. What do you need to succeed? Must Have Bachelor's degree in Business, Computer Science, Human Resources, or a related field. 5+ years of practical experience in Program or Project Management, specifically successfully delivering complex, cross-functional data or technology initiatives. 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 (Note: Direct people management of a team is not required, but experience managing programs via influence without direct authority is essential). Nice to Have Previous experience working within an HR/People function or deep familiarity with HR data systems and privacy regulations. Working knowledge of current and emerging AI regulations, bias/fairness frameworks, and responsible AI principles. Relevant professional certifications in Project/Program Management (e.g., PMP, Agile) or Risk/Data Privacy (e.g., CRISC, CIPP). Prior experience operating within a First Line of Defense (1LoD) risk management model in a highly regulated industry. What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact Job Skills Business Oriented, Communication, Decision Making, Long Term Planning, Organizational Change Management, Program Management, Project Administration, Results-Oriented, Time Management Additional Job Details Address: 180 WELLINGTON ST W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: HUMAN RESOURCES & BMCC Job Type: Regular Pay Type: Salaried Posted Date: 2026-03-03 Application Deadline: 2026-03-17 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Inclusion and Equal Opportunity Employment At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.