AI Business Analyst - Global Wealth Management AI Product Team

AI Business Analyst - Global Wealth Management AI Product Team

Requisition ID: 267475

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

As a key member of the Global Wealth Management AI Product Team, the AI Business Analyst supports the delivery of innovative AI-powered solutions that enhance advisor effectiveness and create meaningful value for clients across Canada and global markets. The incumbent contributes to the successful execution of strategic AI initiatives by partnering with business, technology, and data stakeholders to identify opportunities, develop capabilities, and drive adoption of AI-enabled products.

This role plays an important part in advancing the organization's AI strategy while ensuring all activities are conducted in accordance with regulatory requirements, internal policies, risk frameworks, and operational standards. Through a client-focused and collaborative approach, the individual helps translate business needs into impactful AI solutions that strengthen the advisor and client experience.

Is this role right for you? In this role you will:

Gather, analyze, and document detailed business, functional, and non-functional requirements and translate high-level epics into user stories with clear acceptance criteria

Act as a bridge between business stakeholders and technical teams, ensuring clear and consistent communication

Analyze and model business processes to identify inefficiencies and define AI-enabled improvements

Document AI-specific workflows, including input/output expectations, model-supported decisions, evaluation criteria, and human-review steps

Support backlog grooming and participate in agile ceremonies to ensure readiness for development

Partner with Product Owners, design, engineering, QA, and risk teams to ensure solutions are clearly specified, testable, and governed

Do you have the skills that will enable you to succeed in this role? – We’d love to work with you if you have:

A University degree, college diploma, or equivalent experience

Experience in digital business analysis or comparable business-analysis roles

Experience in wealth management, financial services, or fintech industry preferred

Experience supporting enterprise AI, data / model-driven, digital automation, or advanced analytics initiatives is strongly preferred

Experience illustrating and documenting business processes

Training & experience in Agile working models

Experience writing user stories and documenting acceptance criteria

Strong financial services industry experience

Demonstrated superior computer skills, including MS Visio, MS Excel, MS Word, and MS PowerPoint.

The ability to present and tailor the message based on the audience

Strong analytical capability, are detail-oriented and comfortable working through ambiguity in AI-enabled problem spaces

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.

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Design Engineer, Business Analyst, QA, Engineer, Engineering, Technology, Finance, Quality

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