Job Description

What is the opportunity?

Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. We are building a high-impact technical team that will deliver cutting-edge AI solutions – underpinned by a state-of-the-art data foundation – for our Digital and Global Investment teams. In this role, you will have unique access to rich and massive datasets, computational resources, and tooling necessary to build game-changing AI/ML models and GenAI solutions. This is a rare opportunity to help shape the future of our business and power innovative offerings fit for the next generation of Wealth Management clients.

We are looking for an exceptional Head of Applied AI to serve as the technical leader of this team. This is a role for someone who thrives at the intersection of hands-on technical depth, people leadership, and strategic vision – someone who can conceptualize, architect, and deliver high-impact AI solutions while also building, mentoring, and scaling a team of talented data scientists and ML engineers. You will set the technical direction, drive prioritization with a business-first mindset, and foster a culture that combines rigorous, first-principles problem solving with a results-oriented delivery mindset.

What will you do?

Technical Leadership & Delivery

• Own the technical vision and architecture for AI solutions supporting our Digital and Global Investment teams, ensuring they are robust, scalable, and production-ready

• Lead the design and delivery of AI/ML and GenAI solutions across the full development lifecycle – from problem framing and data exploration through model development, validation, and deployment

• Provide hands-on technical guidance to the team, helping them navigate complex modeling challenges, debug difficult problems, and make sound architectural decisions

• Stay current with emerging AI technologies – including LLMs, generative and agentic AI, and novel ML methodologies – and determine how and when to incorporate them into the team’s work

People Leadership & Team Development

• Lead, mentor, and develop a team of 5-10 AI scientists and ML engineers at varying levels of seniority

• Foster a high-performance team culture grounded in intellectual curiosity, collaboration, and accountability

• Provide regular coaching and career development support, helping team members grow their technical skills and business acumen

• Manage team workload and priorities, ensuring the right balance between delivery commitments and innovation or exploration work

Strategic Partnership & Prioritization

• Work closely with business stakeholders to deeply understand their business problems and pain points, translate them into well-defined technical problems, prioritize the highest-impact opportunities, and build a strategic roadmap of AI solutions

• Act as the bridge between business strategy and technical execution, ensuring the team’s work is aligned with top strategic priorities and delivers tangible business value

• Communicate complex AI concepts and solution trade-offs clearly to both technical and senior non-technical audiences, building trust and credibility across the organization

• Contribute to the broader Data & AI strategy and roadmap, bringing a practitioner’s perspective to strategic planning

What do you need to succeed?

Must-Have

• Master’s degree (or higher) in computer science, statistics, machine learning, applied mathematics, or a related quantitative field

• 8-10+ years of progressive experience in AI/ML/data science, with a strong track record of independently delivering high-impact solutions in production environments

• 3+ years of experience leading technical teams, including providing technical direction, managing workload, mentoring, and developing talent

• Deep, hands-on expertise across the AI/ML lifecycle: problem abstraction, data engineering, feature development, model training and evaluation, and deployment

• Experience leading the design and architecture of an AI stack (e.g., data management and infrastructure, model training, MLOps, etc.) on a cloud-based platform (e.g., AWS, Azure, Snowflake, Databricks)

• Strong foundation in both traditional ML techniques (supervised/unsupervised learning, time series, optimization) and modern GenAI approaches (LLMs, RAG, agentic AI, prompt engineering)

• Experience building PoCs and prototypes to demonstrate novel concepts and solutions in practical application contexts

• A passion for problem solving and proven ability to think from first principles – decomposing ambiguous business problems into structured, solvable technical challenges

• Pragmatic delivery mindset – comfort optimizing for progress over perfection, building within existing tooling and framework, and taking an iterative approach to the target end-state/vision

• Excellent communication skills with the ability to translate complex technical work into compelling narratives for business stakeholders

• Proficiency in Python and the modern ML/AI stack (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, cloud ML platforms)

Nice-to-Have

• PhD in a relevant quantitative or AI/ML discipline

• Experience in wealth management, investment management, or financial services more broadly

• Track record of publishing applied research or contributing to the broader AI/ML community

• Experience working in a matrixed, global organization and partnering across regions

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 all our stakeholders. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• Lead a talented, growing team at the forefront of AI in wealth management, with a direct influence on business impact

• Work with massive, rich datasets and enterprise-scale infrastructure to solve uniquely challenging problems in the financial services industry

• Shape the technical direction and culture of a team that is central to the Wealth Management AI strategy

• Exposure to senior business leaders and the opportunity to influence how AI transforms our business

• 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

• Flexible work/life balance options

Job Skills

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-03-26

Application Deadline:

2026-04-11

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.

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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.