Job Summary Job Description What is the opportunity?
What will you do?
- Work in collaboration with business and technology units to drive strategic value through AI products, this includes automations to drive speed and efficiencies and real-time decision engines that improve the security posture of RBC.
- Own and drive the strategy and long-term goals for AI products, with primary focus on creating efficiencies through AI / Gen AI.
- Define products' s vision including future roadmaps.
- Execution of product planning and development including gathering business requirements and ensuring implementation is aligned with product goals and regulatory requirements.
- Lead operations including monitoring, and response to feedback, and lead the continuous improvement of products.
- Lead interaction with different technical teams including product owners, data science, QA, MLOps, and development teams.
- Work with senior leaders across businesses and communicate the vision, strategy, and goals for AI products.
- Building a high-performance culture to coach, mentor and develop collaborative teams.
What do you need to succeed? Must-have
- Graduate degree in Mathematics, Statistics, Computer Science or other related areas, or undergrad degree in said areas with equivalent experience in the industry.
- 3 years of hands-on experience in data science and data science / ML / AI solution development and applying analytics techniques.
- Previous exposure to product management cycle. Ideally previous experience as a product owner.
- Experience with moving prototypes to production environment.
- Strong knowledge of design, development, and implementation experience utilizing data science technologies.
- Experience translating business needs into clear and detailed product requirements
- Experience working with technical teams, and leaders to collect requirements, describe product features
- Experience working on agile development teams
- Strong communication and presentation skills
Nice-to-have
- Working experience in cyber security space and/or heavily regulated spaces (finance, insurance, health)
- Experience managing data science teams.
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
- A world-class training program in financial services
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Opportunities to building close relationships with clients
- Access to a variety of job opportunities across business and geographies.
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Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above I **nclusion and Equal Opportunity Employment**
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