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Manager, Data & AI Governance - Global Compliance

  • Toronto, ON, M5H 3R3, Canada
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Original job description

Requisition ID: 279135

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

Purpose

The Manager, Data and AI Governance supports the implementation and operation of Global Compliance's Data and AI Governance program, enabling trusted data and the responsible adoption of AI across Compliance.

The role oversees Compliance data assets, AI models, agents and other AI-enabled solutions, covering data quality, lineage, documentation, risk assessment, approvals and monitoring in line with Bank requirements. It works with business, data scientists and data engineers to deliver governed data, analytics and AI solutions.

Accountabilities

  • Lead the implementation and continuous improvement of the Compliance Data and AI Governance frameworks, procedures and controls, in line with Bank policies and standards.
  • Own Compliance data governance practices, including data ownership and stewardship, metadata, data quality, lineage, source-to-target mapping and ETL documentation, so that data pipelines and features used for analytics, modeling and AI are fit for purpose.
  • Partner with business clients, data scientists and data engineers to translate requirements and use cases into governance standards for data, analytics, modeling and AI.
  • Own the Compliance inventory of AI models, agents and AI-enabled solutions, ensuring ownership, risk classification, approvals and lifecycle status are accurate and current.
  • Lead governance assessments of new and existing AI solutions.
  • Support reviews with Global Risk Management, Technology, Data and other control functions, including independent model validation where required.
  • Oversee adherence to data and AI governance requirements, escalate material issues to Compliance senior management, and track remediation to closure.
  • Monitor emerging data and AI risks, regulatory expectations and changes to Bank requirements, updating governance frameworks and controls accordingly.
  • Provide guidance and training to Compliance teams and lead cross-functional working groups on the responsible use of data and AI.
  • Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
  • Maintains a good understanding of the Bank's business strategies, policies, risk management and IT processes and disciplines.
  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
  • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, and conduct risk.
  • Champions a high-performance environment and contributes to an inclusive work environment.

Education/Experience

  • University or College degree/diploma in a relevant discipline (e.g., Risk Management, Engineering, Mathematics, Data Management) or equivalent experience.
  • 5+ years in data governance, data management, AI or model governance, risk management, compliance, technology risk or a related discipline.
  • Experience in financial services or another regulated environment.
  • Hands-on experience with data quality, metadata, lineage, source-to-target mapping, and an understanding of AI/ML governance, including model-risk considerations.
  • Role will have a strong emphasis on critical thinking, curiosity, and strong analytical skills, with the ability to maintain documentation, communicate effectively, and manage stakeholders.
  • Ability to manage multiple priorities across business, technology and control functions.

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.

More about this job

Responsibilities

The Manager will lead the implementation and continuous improvement of Compliance Data and AI Governance frameworks, procedures, and controls. They will also oversee the inventory of AI models and agents, ensuring accurate risk classification, approvals, and lifecycle monitoring.

Requirements

Candidates must have a university degree in a relevant discipline and at least 5 years of experience in data governance, AI/model governance, or risk management. Strong analytical skills and hands-on experience with data quality, metadata, and lineage are required.

Skills

  • Data Governance
  • AI Governance
  • Compliance
  • Risk Management
  • Data Quality
  • Metadata Management
  • Data Lineage
  • Model Risk Management
  • Regulatory Compliance
  • Analytical Skills
  • Stakeholder Management
  • Critical Thinking
  • ETL Documentation
  • AI Lifecycle Management
  • Technology Risk

Visa sponsorship

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Categories

  • Data & Analytics
  • Finance & Accounting
  • Management & Leadership
  • Technology
  • Security & Safety

Keywords

  • Data Governance
  • AI Governance
  • Compliance
  • Risk Management
  • Data Quality
  • Metadata
  • Data Lineage
  • ETL
  • AI Models
  • Model Validation
  • Regulatory Expectations
  • Technology Risk
  • Financial Services
  • Data Management
  • Governance Frameworks
  • Stakeholder Management
  • Analytical Skills
  • Lifecycle Management
  • Control Functions
  • Data Engineering

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