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Role Mandate

The Director, Wealth Data Governance is accountable for leading the Wealth Management Data Governance function and defining and executing a strategy aligned to Wealth CDAO priorities and the Enterprise Risk Framework. Accountable for the overall Wealth data risk posture and governance maturity, the role operates within a federated Data Owner operating model, thus requiring an understanding of data stewardship vs accountability across the Wealth lines of business. The Director ensures a risk-based, proportionate approach to data governance, data usage, and data risk management, especially when applied to analytics output, and positions data as a strategic asset through robust governance, data quality, and risk practices that support business objectives, regulatory compliance, and customer outcomes.

Key Accountabilities

Strategy & Business Alignment

• Define and execute the Wealth Data Governance strategy aligned with Enterprise objectives and regulatory expectations
• Align governance priorities to Wealth CDAO strategy and business goals
• Lead the evolution of governance scope to incorporate emerging data risk domains (e.g., analytics, data usage, data management for AI )

Risk & Control Management

• Own and oversee data risk management practices in alignment with the Enterprise Risk Framework and ONFRMF requirements
• Establish and maintain a robust control environment governing data risk and appropriate data usage, taking a risk-based and proportionate approach

Deliver aggregated data risk reporting to support senior management and risk committee oversight

Governance Framework & Operating Model

• Establish and maintain Wealth-specific data governance frameworks, standards, and processes
• Ensure alignment with Enterprise data policies and consistent adoption across Wealth businesses (Private Wealth Canada, Insurance, InvestorLine, Asset Management, Burgundy, Data Foundation)
• Drive integration of governance practices into business processes and decision-making

Data Quality & Assurance

• Define and oversee data quality management and control practices to ensure data is fit for purpose across critical use cases
• Establish control frameworks that provide assurance over data accuracy, integrity, and lineage
• Ensure data supports accurate financial and regulatory reporting, sound decision-making, and positive customer outcomes

Stakeholder Management & Influence

• Partner with senior business and functional leaders to embed data management practices across Wealth
• Act as a trusted advisor on data governance, risk, and regulatory matters
• Drive alignment across federated data owners and stakeholders

People Leadership

• Build and lead a high-performing, accountable team
• Foster a culture of continuous improvement, innovation (including using AI), and strong risk discipline
• Develop team capabilities (technical and soft skills) to support evolving governance and data risk requirements

Success Measures

• Improved data risk posture and control effectiveness
• Strong audit and regulatory outcomes with timely remediation
• Measurable improvement in data quality (accuracy, completeness, timeliness)
• Increased and sustanined adoption and maturity of data governance practices across Wealth
• Delivery of consistent, actionable data risk reporting to senior leadership
• High-performing team with strong engagement, capability growth, and stakeholder satisfaction

Qualifications

Experience

• 10+ years’ experience in financial services, data governance, data management, or risk management

• Demonstrated experience implementing enterprise data governance and data risk frameworks
• Post secondary education or equivalent experience.

Core Competencies (Director Level)

• Strategy & Business Acumen (Expert)
• Risk Management & Control Effectiveness (Expert)
• Data Governance & Data Management (Expert)
• Stakeholder Influence & Communication (Expert)
• People Leadership & Talent Development (In-depth)

Technical / Functional Expertise

• Data governance frameworks, metadata management, data lineage, and data quality management
• Experience with data management tools (e.g., Informatica, Alation, Manta) and a comfort with the application of AI to data management
• Strong data-driven decision-making capability

• lities may be assigned as needed.
• Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: