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Added 3 hours ago
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BMO

Director, Wealth Growth & Analytics

Toronto, ON, Canada
FCP, Canada

Pay: $120,000.00 - $215,000.00
Job type: Full-time
Apply by: Oct 20, 2026
Experience: 10+ years of experience in analytics, strategy, management consulting, wealth management, insurance, digital financial services, marketing, or related disciplines.
Posting language: English
Posted: Sep 23, 2026

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Original job description

Application Deadline:

10/19/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

Role Summary

The Director, Growth & Analytics leads the growth analytics agenda for BMO InvestorLine and BMO Insurance. This role leverages analytics, client insights, market intelligence, and emerging AI capabilities to identify growth opportunities and shape strategies that drive client acquisition, engagement, retention, and revenue growth. Working closely with business, marketing, digital, technology, and operations partners, the Director translates insights into action, influences strategic decisions, and leads a high-performing team focused on delivering measurable business outcomes.

Key Accountabilities

Growth Strategy & Commercial Performance

Own the growth analytics agenda for BMO InvestorLine and BMO Insurance, identifying opportunities to acquire, engage, retain, and grow clients.
Develop fact-based growth strategies informed by client insights, business performance, market trends, and competitive dynamics.
Identify priority growth opportunities and translate them into strategic recommendations, investment priorities, business cases, and roadmaps.
Partner with senior business leaders to influence strategic and commercial decisions through data-driven insights and recommendations.
Evaluate emerging opportunities, business models, and growth initiatives to accelerate client, revenue, and market growth.

Client Engagement, Segmentation & Personalization

Define client segmentation, targeting, personalization, and engagement strategies that improve client experience and commercial outcomes.
Leverage client, behavioural, financial, and digital engagement data to identify opportunities to improve acquisition, conversion, retention, and product penetration.
Working in partnership with campaign execution, marketing, and digital teams, establish strategies for client journeys, lead programs, and personalized engagement.
Recommend actions that improve targeting, channel effectiveness, audience selection, offer strategy, and client relevance across priority segments.
Translate analytics and Client360 insights into actionable growth initiatives and measurable business outcomes.

Performance Measurement & Optimization

Establish growth measurement frameworks that connect initiatives to acquisition, engagement, retention, asset growth, revenue, and profitability outcomes.
Lead performance reviews, identify growth drivers and performance gaps, and recommend actions to improve results.
Apply forecasting, experimentation, scenario analysis, and business case modelling to evaluate opportunities and investments.
Foster a disciplined test-and-learn culture that supports continuous improvement and business performance optimization.

Analytics, Insights & AI Enablement

Define and execute the roadmap for analytics, insights, and AI capabilities that support business growth objectives.
Champion advanced analytics, predictive modelling, AI-enabled decisioning, and insight generation capabilities that improve business performance and client understanding.
Prioritize analytics investments based on business value, strategic relevance, feasibility, and organizational readiness.
Ensure insights are embedded into strategic planning, decision-making, client engagement strategies, and performance management processes.
Advance innovative approaches that improve the speed, scalability, and impact of analytics across the business.

Executive Partnership & Influence

Build trusted relationships with senior leaders across Wealth and key enterprise functions.
Influence executive decision-making through data-driven storytelling, opportunity assessments, business cases, and recommendations.
Lead cross-functional initiatives that require alignment across business, data, technology, marketing, digital, and operations teams.
Drive clarity, alignment, and accountability across strategic growth priorities.

People Leadership

Lead and develop a high-performing team of analytics, strategy, and growth professionals.
Build capabilities in strategic thinking, analytics, experimentation, storytelling, AI, consulting, and business influence.
Foster a culture of accountability, innovation, collaboration, continuous improvement, and measurable business impact.
Develop future leaders and succession pipelines within the Growth & Analytics function.

Qualifications

Experience

10+ years of experience in analytics, strategy, management consulting, wealth management, insurance, digital financial services, marketing, or related disciplines.
Demonstrated success partnering with senior leaders to shape business strategy, investment decisions, and growth priorities.
Proven track record delivering measurable results in client acquisition, engagement, retention, revenue growth, marketing effectiveness, or business performance.
Experience leveraging analytics, client insights, and performance measurement to influence business decisions and outcomes.
Experience leading high-performing teams and managing complex stakeholder relationships.

Leadership & Strategic Capabilities

Strong strategic thinking, commercial acumen, and problem-solving skills.
Ability to translate complex data and insights into clear business recommendations and actions.
Exceptional communication, storytelling, presentation, and influencing capabilities.
Proven ability to lead through ambiguity and drive outcomes across complex stakeholder environments.
Executive presence with the ability to build trust and influence at senior levels.

Technical & Analytical Capabilities

Strong knowledge of analytics, performance measurement, experimentation, segmentation, forecasting, and business case development.
Experience with modern analytics tools, platforms, and data environments.
Understanding of AI, machine learning, predictive analytics, and decision-support capabilities.
Knowledge of data governance, privacy, risk management, and regulatory considerations within financial services.

Salary:

$120,000.00 - $215,000.00

Pay Type:

Salaried

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: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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More about this job

Responsibilities

The Director leads the growth analytics agenda for BMO InvestorLine and BMO Insurance by leveraging data, market intelligence, and AI to drive client acquisition and revenue. They partner with senior leadership to translate complex insights into actionable growth strategies and measurable business outcomes.

Requirements

Candidates must have 10+ years of experience in analytics, strategy, or financial services with a proven track record of delivering measurable business results. Strong leadership, strategic thinking, and the ability to influence senior stakeholders through data-driven storytelling are essential for this role.

Skills

Growth analytics
Strategic planning
Data-driven decision making
Client segmentation
Predictive modeling
Artificial intelligence
Performance measurement
Business case modeling
Stakeholder management
Financial services
Marketing strategy
Digital engagement
Storytelling
Leadership
Commercial acumen
Risk management

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Growth Analytics
Wealth Management
Insurance
Artificial Intelligence
Machine Learning
Predictive Analytics
Client360
Segmentation
Personalization
Business Intelligence
Data Governance
Privacy
Risk Management
Regulatory Compliance
Management Consulting
Digital Financial Services
Marketing Effectiveness
Scenario Analysis
Experimentation
Forecasting
Strategic Roadmap
Commercial Performance
Client Acquisition
Retention
Revenue Growth
Stakeholder Influence
Cross-functional Leadership
Performance Optimization
Data-driven Storytelling
Financial Services

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