Advisory Lead

Job title:

Advisory Lead

Company

Royal Bank of Canada

Job description

Job SummaryJob DescriptionAbout Borealis AI:Borealis AI, an RBC Institute for Research, is a curiosity-driven research center dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centers in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, Large Language Models, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.What’s the opportunity?We’re looking for a critical problem solver who’s eager to help our machine learning research team create outsized value for RBC. As a senior member of our Business Advisory team, you’ll be responsible for identifying high-impact data and artificial intelligence opportunities that will drive CEO-level priorities at RBC. You’ll engage senior executives in the bank to develop Data & AI strategy, mobilize teams to deliver market-leading solutions, and be the ongoing voice of the business to ensure our technical teams are laser-focused on value.At RBC Borealis, you’ll be joining a fast paced, dedicated, and passionate team that works directly with leading machine learning researchers, engineers and product management teams to deliver value back to RBC clients. Our mission is to think big and go beyond what’s possible today to deliver competitive AI solutions.Your responsibilities will include:

• Providing thought partnership to senior executives on their most pressing business problems and potential AI solutions to create outsized value;
• Building and communicating strategic business plans, and collaborating with the RBC Borealis research and product teams to ensure alignment, feasibility, and success;
• Mobilizing and providing business leadership to technical teams as they build and scale Data & AI solutions for the RBC;
• Building relationships with subject matter experts and technical teams across RBC;
• Representing the business vision within RBC Borealis and the broader enterprise technology community and educating researchers on business needs;
• Understanding RBC Borealis research priorities and creatively mapping technologies onto business problems to identify new areas of opportunity to create impact;
• Defining business requirements and collaborating with product and research teams to establish solution scopes, test technical feasibility, and resolve any business issues that arise during development.

You’re our ideal candidate if you:

• Have 10+ years of experience working in a fast-paced management consulting, financial services or technology focused organization;
• Were responsible for the delivery of technology solutions that drove material business impact;
• Have a working knowledge of data analytics and machine learning;
• Have experience developing relationships with senior business and technical stakeholders at large enterprises;
• Have experience developing business cases and other communications on technology projects;
• Are a creative thinker who can develop long-term strategies as well as a stickler for detail on short-term commitments and deliverables;
• Are excited to work with a machine learning research team on solving problems that cannot be solved with existing technology.

What’s in it for you:

• Be part of a dynamic & flexible working environment;
• Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
• Leaders who support your development through coaching and managing opportunities;
• Ability to make a difference and lasting impact from a local-to-global scale.

Inclusion and Equal Opportunity EmploymentRBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.#LI-Hybrid#Ll-POSTJob Skills Coaching Others, Critical Thinking, Decision Making, Detail-Oriented, Group Problem Solving, Industry Knowledge, Machine Learning, Multi-Level Communication, Results-OrientedAdditional Job DetailsAddress: 777 BAY ST, TH 27:TORONTOCity: TORONTOCountry: CanadaWork hours/week: 37.5Employment Type: Full timePlatform: TECHNOLOGY AND OPERATIONSJob Type: RegularPay Type: SalariedPosted Date: 2025-01-22Application Deadline: 2025-02-26Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveInclusion and Equal Opportunity EmploymentAt 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.We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.Join our Talent CommunityStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at .

Expected salary

Location

Toronto, ON

Job date

Fri, 24 Jan 2025 08:43:11 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (un-jobs.net) you saw this job posting.