Senior AI Technical Product Owner (Contract)

CoreFactor is searching for a Senior AI Technical Product Owner on a contract basis for a client in the GTA.

This position is hybrid and will require the successful incumbent to go into office 2-4 times per week located in Downtown Toronto.

Description

Were looking for a Senior AI Technical Product Owner to help build and scale the organizations enterprise AI and personalization capabilitiespowering smarter more relevant client experiences across our digital channels.

This role owns the end-to-end roadmap and backlog for AI-enabled platforms translating business priorities client experience opportunities and technical strategy into clear prioritized work for delivery teams. You will play a critical role in shaping how the organization leverages data machine learning and generative AI to drive personalization engagement and growth.

You will partner closely with engineering data science architecture marketing risk and security teams to ensure our AI platforms are scalable secure privacy-forward and aligned with regulatory expectations while delivering measurable business impact.

We are building a modern cloud-based marketing and engagement ecosystemfocused on agility experimentation and continuous improvementto deliver simple transparent and highly personalized banking experiences.

Key Responsibilities

• Own and evolve a multi-quarter AI and personalization platform roadmap aligned to enterprise priorities including client growth engagement and value optimization
  
• Translate business and client experience needs into AI use cases platform capabilities and prioritized backlog items (epics features user stories)
  
• Act as a bridge between business data and engineering teams ensuring alignment from strategy through to delivery
  
• Drive value-based prioritization balancing foundational platform work with high-impact use cases (e.g. next-best-action targeting decisioning GenAI-enabled experiences)
  
• Collaborate with data science ML engineering architecture marketing risk and privacy teams to design and deliver responsible AI solutions
  
• Define clear functional and non-functional requirements including:
  
• Model and decisioning performance
  
• Personalization effectiveness (e.g. engagement conversion lift)
  
• Reliability scalability and latency
  
• Privacy explainability and regulatory compliance
  
• Cost efficiency and operational sustainability
  
• Provide hands-on product leadership to delivery teams by:
  
• Clarifying requirements and acceptance criteria
  
• Managing dependencies across teams and platforms
  
• Removing blockers and enabling pace of delivery
  
• Support evaluation and integration of AI/MarTech vendors and platforms ensuring alignment with the organizations architecture data and governance standards
  
• Leverage data and experimentation to continuously optimize models journeys and platform performance
  
• Champion best practices in responsible AI experimentation and measurement ensuring solutions are transparent compliant and client-first
  

Requirements

• 8 years of experience in technical product ownership or product management ideally in platform data or AI-enabled environments
  
• Strong understanding of AI/ML concepts data products APIs and cloud-based architectures
  
• Experience working across marketing personalization or digital engagement ecosystems is a strong asset
  
• Proven ability to manage complex roadmaps and balance innovation with scalability and governance
  
• Experience partnering with cross-functional teams including engineering data science marketing risk and security
  
• Strong communication skills with the ability to translate between technical concepts and business outcomes