Lead AI Product Solutions Analyst

Scotia Global Asset Management

Toronto

On-site

CAD 110,000 - 170,000

Full time

6 days ago
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Job summary

Scotia Global Asset Management is seeking a Senior Product Solutions Analyst to drive AI-powered analytics and oversee AI/ML products from ideation to implementation. You will collaborate with business teams and cross-functional partners to translate problems into technical requirements and shape a practical product roadmap.

The role focuses on integrating AI tools within SGAM’s operating framework, upholding data governance and regulatory standards, and advancing AI literacy among users in a

Qualifications

  • 5+ years delivering data science and big data projects in large, complex organizations.
  • Degree in Mathematics, Business, Engineering, Computer Science or Physical Sciences.
  • Strong understanding of ML, MLOps, and generative AI.

Responsibilities

  • Lead with a business-oriented perspective, collaborating with cross-functional teams to spark AI-powered solutions.
  • Translate business problems into technical requirements.
  • Own AI and ML products from ideation to implementation.
  • Partner with AI, Technology, and Data Teams to ensure successful integration of AI tools.
  • Create and maintain a comprehensive product roadmap aligned with business objectives.
  • Support change management and promote AI literacy among users.
  • Collaborate with platform and architecture teams to ensure regulatory and data governance compliance.

Skills

Data science
Big data
Python
SQL
AI tools
MLOps
Generative AI
Cloud platforms

Education

Bachelor’s degree in Math/Engineering/CS

Tools

Google Cloud Platform
pgvector

Job description

Scotia Global Asset Management is seeking a Senior Product Solutions Analyst to drive AI-powered analytics and oversee AI/ML products from ideation to implementation. You will collaborate with business teams and cross-functional partners to translate problems into technical requirements and shape a practical product roadmap.

The role focuses on integrating AI tools within SGAM’s operating framework, upholding data governance and regulatory standards, and advancing AI literacy among users in a

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