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Data Analyst Data Science Manager

Lead Data Engineer, AI and Technology Strategy

Job in Toronto, Ontario, M5A, Canada
Listing for: 0000050007 Royal Bank of Canada
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below

Job Description

What is the opportunity?As Lead Solution Engineer, this role will collaborate closely with the Director, AI and Technology Strategy, TEO, to develop and implement TEO's AI and data strategy. The AI and Technology Strategy team holds primary accountability for driving the adoption and value creation of AI across TEO, in conjunction with RBC's AI teams, including Borealis and Lumina.

By leveraging RBC's extensive data assets and AI ecosystems, you will work in tandem with business stakeholders, end-users, and technology partners to design and deploy AI-enabled data platforms and solutions. Additionally, you will develop and test computer programs, models, and prototypes as part of proof-of-concept initiatives, focusing on enhancing operational efficiencies and elevating customer experiences.
What will you do?

  • Participate in the design, develop, and deploy of AI/ML models and prototypes using enterprise data assets.

  • Collect, transform, and analyze complex data to extract insights, support model development, and enable predictive analytics.

  • Collaborate with IT partners to implement efficient solutions, reducing manual work and errors, and to align cloud infrastructure with AI strategy.

  • Develop and maintain scalable data platforms, including data hubs, pipelines, ETL, MCP servers and APIs, to ensure accurate and reliable data feeds.

  • Create dashboards, reporting platforms, and self-service reporting capabilities to monitor model performance, operational impact, and efficiency gains.

  • Establish processes for continuous model improvement, including automated feedback loops and simulation environments to validate models and quantify business impact.

    • What do you need to succeed?
    Must have:

  • 3-5 years deep understanding of AI/ML fundamentals, frameworks and relevant programming or database languages like SQL, Python, or Java.

  • Degree in data engineering, Computer Science, or related fieldwork experience in software/model development or related fields.

  • Experience with data platforms, cloud technologies (AWS, Azure, GCP), MCP, and APIs.

  • Hands-on experience in LLM, AI/ML model development, simulation, and deployment.

  • Proven ability to design scalable data pipelines and AI-ready infrastructures.

  • Solid understanding of data governance, data management, data quality, security, and compliance.

  • Strong communication skills to translate technical solutions into business outcomes.

    • Nice to have

  • Experience working directly with client or business teams in banking operations industry

  • Experience with model lifecycle management, and design thinking

  • Prior exposure to RBC enterprise data platforms or financial services.

  • Experience of building or leading AI/data science teams.

    • 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

  • Opportunity to grow, learn and build strong leadership skills

  • Ability to make a difference and lasting impact for both RBC and the community

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

  • Opportunities to do challenging work and grow your technical literacy

  • Broad exposure and opportunity to collaborate with many teams across the organization

    • #LI-POST
    #TECHPJ
    Job Skills
    Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis
    Additional Job Details

    Address:

    180 WELLINGTON ST W:

    TORONTO

    City:

    Toronto

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    TECHNOLOGY AND OPERATIONS

    Job Type:

    Regular

    Pay Type:

    Salaried

    Posted Date:

    Final date to receive applications:

    Note: Applications will be accepted until 11:59 PM on the day prior to the Final date to receive applications date aboveI
    n…
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