Senior Product Solutions Analyst

Toronto, ON
On-site
Posted Oct 9, 2026
1 position

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Employment type: Full-time
Experience level: Senior · 5+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level

Job summary

Lead the development and adoption of AI-powered products and customized analytics solutions for SGAM business teams, translating business needs into technical requirements and managing products from ideation through implementation. Partner with business, technology, data, platform, and architecture teams to integrate solutions, maintain a business-aligned product roadmap, and ensure regulatory, data governance, and ethical compliance.

Job details

Requisition ID: 269506 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. Purpose The Senior Product Solutions Analyst will play a key role in transforming how business teams across Scotia Global Asset Management (SGAM) operate by introducing AI-powered technologies and delivering customized analytics solutions. This role involves contributing to the development and enhancement of internal generative AI applications, including prompt engineering and design tailored for SGAM teams. The analyst will also collaborate with a range of third-party vendors to assess, integrate, and optimize external AI tools that support operational excellence and business innovation. This position supports the following SGAM business teams: distribution channels (third-party, proprietary and institutional), product development, marketing, finance, compliance, and operations. Is this role right for you? In this role you will: Lead with a business-oriented perspective, collaborating with business and cross-functional teams to spark new ideas, re-engineer processes, identify opportunities, and shape 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 and effective use of AI tools and solutions Create and maintain a comprehensive product roadmap that supports business objectives and reflects market trends Support change management efforts and promote AI literacy and adoption among users Collaborate with cross functional teams such as platform and architecture to ensure AI solutions are compliant with regulatory requirements, data governance policies, and ethical standards Skills Do you have the skills that will enable you to succeed in this role? – We’d love to work with you if you have: Minimum 5 years of experience delivering data science and big data projects in large complex organizations Background degree in Mathematics, Business, Engineering, Computer Science, Physical Sciences preferred Strong understanding of classical machine learning, model development, MLOps, and generative AI Advanced knowledge in Python and SQL and working with large data sets Experience with AI tools and platforms relevant to asset management and financial services sectors Experience with enhancing client experience through personalized AI or predictive analytics Experience with Google Cloud Platform and pgvector is an asset Extremely strong analytical, problem solving and data analysis skills Experience with AI tools and platforms relevant to asset management and financial services sectors. Experience with enhancing client experience through personalized AI or predictive analytics. Interested? At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That is why we work to grow and diversify talent and engage employees in a performance-oriented culture. What's in it for you? Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs. #SGAM Location(s): Canada : Ontario : Toronto Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

What you’ll do

Requirements

Requires at least five years of experience delivering data science and big data projects in large, complex organizations, along with strong knowledge of machine learning, model development, MLOps, and generative AI. Advanced Python and SQL skills and experience with large datasets are expected; a degree in mathematics, business, engineering, computer science, or physical sciences is preferred, while Google Cloud Platform and pgvector experience are assets.