{bc}
indeed

Senior Product Manager, AI /ML(Global Security)

RBC
Toronto, CAN
Full Time
Senior
1 weeks ago
Product ManagementArtificial IntelligenceMachine LearningAgile Software DevelopmentKPI DefinitionStakeholder Management
Free

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Key skills for this role

Product ManagementArtificial IntelligenceMachine Learning
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What is the opportunity?

  • Lead the end to end design, implementation, and operationalization of cutting edge AI/ML solutions for risk management, regulatory adherence, and control frameworks.
  • Products address real time transaction monitoring, regulatory change management, control testing automation, and predictive risk analytics.

What will you do?

  • Own the vision and strategy for multiple AI driven Risk & Regulatory Compliance products, defining roadmaps aligned with regulatory priorities and business needs.
  • Lead cross functional teams (data scientists, engineers, ML Ops, legal, risk experts) to design and deliver scalable AI solutions.
  • Drive product execution: translate complex regulatory and risk requirements into actionable technical specifications.
  • Optimize product operations: monitor performance metrics, iterate based on stakeholder feedback, ensure seamless integration.
  • Collaborate with subject matter experts to identify high impact use cases.
  • Champion innovation with advanced techniques (LLM, agentic workflows, generative AI, vision model tuning) while ensuring ethical AI practices.
  • Influence and communicate strategic priorities to senior leadership.
  • Mentor and develop a high performing team.

Must have

  • 5+ years in product management with a track record of launching AI/ML products.
  • Technical foundation with ability to translate complex technology into business value.
  • Expertise in establishing KPIs, agile software development, requirement gathering.
  • Proven ability to manage multiple concurrent products and serve diverse user personas.
  • Strong organizational, project management and time management capabilities.
  • Exceptional communication skills to simplify complex AI concepts for non technical audiences.
  • Degree in Computer Science, Statistics, Engineering or transferable field.

Nice to have

  • Working experience in cyber and risk space with understanding of risk management frameworks and regulatory compliance.
  • Past experience as Product Manager in a regulated environment (ideally banking).
  • Hands on experience with AI agentic workflows, data science workflows, ML Ops, and deploying models in production.
  • Familiar with ETL processes with a variety of data types.

What’s in it for you?

  • Opportunity to develop industry leading solutions targeting cyber security concerns.
  • Comprehensive Total Rewards Program including bonuses, flexible benefits, competitive compensation, commissions, and stock.
  • 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.
  • World class training program in financial services.
  • Opportunities to do challenging work.

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