Director, Product Delivery Lead (Enterprise ML/AI Platform)
RBC
Job Summary
Job Description
WHAT IS THE OPPORTUNITY?
As part of a strategic effort to continuing scaling the leverage of data and artificial intelligence at RBC, we are building a scalable Machine Learning Operations (MLOps) platform that will standardize how the bank builds, validates, deploys and operates Machine Learning (ML) models. You will be chiefly responsible for ensuring that this platform meets the needs of our internal customers and achieves broad adoption, working closely with engineering teams to deliver and iterate on the platform as we grow. You will apply your previous expertise in Product Management & Ownership, and ML Development to make the platform a highly successful product that accelerates teams across RBC in their AI solution development. We’re looking for an effective, inspirational, energetic and hands-on leader with proven experience at the intersection of Product and ML to join a highly talented team that is driving RBC to be a world-class data-driven organization.
WHAT WILL YOU DO?
Working collaboratively with the MLOps platform target users, develop and maintain the product roadmap and strategy
Working collaboratively with software delivery and architecture teams, develop and maintain the sprint-based feature backlog to deliver the platform.
Form and maintain deep trusted relationships across the enterprise with user groups, lines of business, functions, subject matter experts, delivery partners, architects, technology vendors and collaborating teams to grow the impact of the project and in particular to drive new user partnerships for the MLOps platform.
Represent the voice of the end user, and act as the authority on confirmed-value feature prioritization and feature acceptance.
Develop and execute the operational strategy for delivering the product management of the ML Ops platform itself. As part of this, drive and contribute to staffing and financial matters relating to the project.
WHAT DO YOU NEED TO SUCCEED?
Must have:
Demonstrable hands-on experience in development of ML models, ideally with experience across both on premise and cloud-based architectures. Specialist training in data science, ML or associated domains such as Computer Science.
Demonstrable experience in Product Management and Product Ownership.
Knowledge of and experience with one or more vendor or open source MLOps platforms, and general familiarity with the challenges of developing, deploying and managing ML models.
Experience in leading without authority to garner the support and participation of colleagues across large matrixed organizations.
Deadline-driven, organized and results-oriented; able to meet consistently high quality standards while handling a variety of tasks and deadlines simultaneously. Motivated, driven and proactive but with a supportive and empathetic mindset.
Knowledge and experience with cloud environments.
Nice-to-have:
Post-graduate degree in Computer Science or other relevant technical discipline.
Certified training in Agile and Scrum disciplines.
Experience in the application of Artificial Intelligence technologies in financial services sector products
Experience in development and support of high scale services.
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
A world-class training program in financial services
Flexible work/life balance options
Opportunities to do challenging work.
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Job Skills
Business Case Design, Critical Thinking, Knowledge Organization, Product Development Lifecycle, Product Development Methodology, Product Manufacturing, Product Services, Product Testing, Project Management, Results-OrientedAdditional Job Details
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