Head of Data Innovation

3 weeks ago

Toronto, Ontario, Canada Royal Bank of Canada Full time
Job Opportunity:
We are seeking a dynamic leader to drive global technology innovation and develop strategies that provide sustainable solutions to RBC businesses.

Key Responsibilities:
Build relationships with the start-up and Fintech community in the world of AI and Technology.
Gain global knowledge of start-up and Fintech capabilities.
Act as the subject matter expert for emerging global technologies.
Identify frontier, game-changing capabilities to serve LOB business ambitions.
Direct delivery of mid/large CAO-sponsored and enterprise transformational initiatives impacting all LOB Groups.
Partner with data teams across all LOBs to understand and contribute to defining business ambitions.
Serve as the Chief Data office representative for Innovation.
Set direction for Strategic Initiatives and transformation intended to drive game-changing business capabilities.
Deliver POC/POVs of new data capabilities in partnership with businesses and alongside horizontal data teams.

Requirements:
Exceptional global awareness of emerging technical capabilities.
Experience in delivering technology solutions into production.
Strong data management and analytics skills and experience executing and implementing initiatives.
Experience in building strong teams and driving collaboration and execution of initiatives.
Experience in the application of artificial intelligence to deliver data-related products and solutions.
Strong ability and proven experience in building and developing a high-performing team/culture, and a strong inclination for continuous learning and growth.
Ability to influence senior executives and deliver against organizational goals.

What's in it for you?
We offer a comprehensive Total Rewards Program, including bonuses and flexible benefits, competitive compensation, and opportunities to make a lasting impact.

Job Skills: Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis

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