Director, Data Strategy
Job in
Toronto, Ontario, M5A, Canada
Listing for:
BMO
Full Time
position
Listed on 2026-01-01
Job specializations:
-
IT/Tech
Data Security, Data Analyst
Job Description & How to Apply Below
Final date to receive applications:
01/04/2026
Address:
250 Yonge Street
Job Family Group:
Data Analytics & Reporting
The Director, Data Strategy will serve as the strategic catalyst for shaping BMO Insurance’s multi-year transformation of how data powers growth, efficiency, and intelligence across the business. This senior leader will define the data vision, operating model, and execution roadmap that connects enterprise modernization initiatives to real business outcomes. The role combines strategic foresight, governance leadership, and platform innovation—ensuring BMO Insurance capitalizes on data as a competitive advantage and trusted enterprise asset.
Operating at the intersection of business strategy, digital modernization, and advanced analytics, this position influences the evolution of underwriting, product development, client experience, distribution, and risk management. The Director will act as a key advisor to senior executives and enterprise committees, translating organizational imperatives into an integrated data strategy that drives measurable, sustainable impact.
KEY RESPONSIBILITIES:
Enterprise Data Leadership and Vision
Define and execute the enterprise-wide data strategy and multi-year roadmap that directly supports BMO Insurance’s strategic transformation and growth agenda.Shape and evolve an enterprise data vision and target operating model, ensuring alignment of people, processes, platforms, and governance structures across functions.Establish governance bodies and executive steering committees to oversee data priorities, investment planning, and cross-functional coordination.Partner with business and technology executives to align modernization, risk, and AI strategies under a unified data architecture.Develop business cases articulating the measurable financial, operational, and client value of data-driven initiatives.Influence enterprise decision-making at Senior Executive levels, ensuring data strategy aligns with key business and regulatory priorities.Transformation and Modernization
Lead modernization of BMO Insurance’s legacy data ecosystem into a scalable, cloud-based, modular environment enabling integration, automation, and analytics at scale.Advance technology innovation by evaluating emerging tools, platforms, and engineering practices for cloud transformation, API enablement, and embedded artificial intelligence.Drive frameworks for intelligent automation, enabling efficiency and digital fluency across underwriting, pricing, claims, and advisor enablement processes.Align enterprise data modernization with the bank’s broader cloud, security, and AI strategies through close partnership with the Data & AI Centre of Excellence.Oversee financials for transformation programs, ensuring robust business case management, ROI realization, and predictable delivery.Governance, Risk, and Regulatory Alignment
Design and implement a comprehensive data governance framework that integrates quality, lineage, privacy, and retention across all data domains.Govern information assets across their lifecycle to ensure compliance with industry regulations such as OSFI, and PIPEDA.Partner with Enterprise Risk, Compliance, and Legal to enforce accountability for data protection and ethical AI usage.Establish clear roles, policies, and automation practices that strengthen trust in data and mitigate governance risk at every level of the organization.Measure governance adoption maturity and drive continuous improvement across business lines.AI, Analytics, and Insight Enablement
Establish the foundation for predictive, real-time, and self-service analytics across all insurance lines.Deploy enterprise AI and ML capabilities to accelerate underwriting, improve client experiences, and optimize decision accuracy.Govern responsible AI adoption, ensuring transparency, explainability, and bias mitigation are embedded into all models.Lead collaborations with data scientists, product teams, and business intelligence groups to operationalize analytics and data-driven decisioning.Integrate business metrics and performance dashboards across leadership reporting to support proactive management and business…
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