Data Science Strategy Lead

2 weeks ago

Toronto, Ontario, Canada Royal Bank of Canada> Full time

Job Summary

Job Description

What is the opportunity?

The Royal Bank of Canada is seeking a highly skilled Data Science Strategy Lead to shape the future of Wealth Management Canada by leveraging advanced data science techniques and artificial intelligence to gain insights, optimize operations, and enhance the overall advisor and client experience. This role sits at the intersection of technology and business, providing a unique opportunity to influence both sectors.

This role entails leading a dynamic team of AI experts and collaborating across various departments to integrate AI and machine learning into core business processes. The ideal candidate will possess expertise in AI and machine learning, alongside strong leadership, strategic vision, and project management skills. The Head of Analytics and Innovation will spearhead the firm's AI and machine learning initiatives, driving the development and deployment of innovative solutions to solve complex business challenges. They should be able to navigate the complexity of working in a highly governed environment while at the same time enabling the team to carry out their work seamlessly.

Key Responsibilities:

  • Team Leadership:
    • Drive the enablement for the Data and AI team to innovate and explore, including access to data and an ML/AI environment.
    • Lead, mentor, and manage a high-performing team of data scientists, engineers, and analysts.
  • Strategic Vision:
    • Help develop and execute a comprehensive AI strategy aligned with the overall business objectives and goals, working closely with cross-functional teams (IT, product, marketing, finance, etc.) to leverage data insights for strategic decision-making.
  • AI Innovation:
    • Spearhead initiatives to personalize the advisor and client journey through AI-driven recommendations, personalized insights, and enhanced user experiences.
    • Stay abreast of emerging technologies and trends in data science and artificial intelligence to ensure the company remains at the forefront of innovation.
  • Technology Integration:
    • Collaborate with broader RBC IT and Data Science teams to ensure seamless integration of data science applications and AI solutions into existing systems and processes.
    • Oversee the design and implementation of scalable data infrastructure and analytics platforms.
    • Design, develop, implement, and support emerging big data analytics capabilities through the development and maintenance of advanced data ingestion, processing, modeling, and reporting capabilities.

Requirements:

  • Educational Background:
    • Advanced degree (PhD or Master's) in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Experience:
    • 10+ years of experience in data science, AI, or analytics, with at least 5 years in a leadership role.
  • Technical Skills:
    • Proven experience in applying AI and machine learning to real-world business problems and driving measurable outcomes.
    • Strong proficiency in data analytics, machine learning, statistical modeling, and big data technologies.
  • Communication Skills:
    • Excellent verbal and written communication skills, with the ability to present complex data insights to non-technical stakeholders.

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.
  • Flexible work/life balance options.
  • Opportunities to do challenging work.
  • Opportunities to take on progressively greater accountabilities.
  • Access to a variety of job opportunities across business.

Job Skills

Active Learning, Agile Methodology, Algorithms, Application Integrations, Artificial Intelligence (AI), Data Wrangling, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Knowledge Discovery, Knowledge Graph, Programming Languages, Python (Programming Language), Software Development Life Cycle (SDLC)

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