Data Science Strategist

4 weeks ago

Toronto, Ontario, Canada Bluebayinvest Full time
Job Title: Technical Community Leader

Lead, Data Science Strategy & Initiatives, Wealth Management Canada, Business Initiatives and Insights

What is the Opportunity?

The Technical Community Leader will play a key role in shaping 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.

If you are passionate about leveraging data and AI to revolutionize the industry, we invite you to apply and be a part of our innovative journey.

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:
  • Must haves:
    • Advanced degree (PhD or Master's) in Data Science, Computer Science, Statistics, Mathematics, or a related field.
    • 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.
  • Nice to Have:
    • Previous work experience in the Banking industry, preferably in Wealth Management.
What's in it for you?

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.

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients, and communities.

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