Director, Enterprise Data Management Platforms and Governance Tooling

Director, Enterprise Data Management Platforms and Governance Tooling at BMO

BMO is undergoing a significant transformation in how it manages, governs, and leverages data to deliver trusted, connected, and AI-ready insights at scale. To further this ambition, BMO is seeking a Director, Enterprise Data Management Platforms and Governance Tooling to join the Enterprise Data Office within the AI+ Research & Commercialization (ARC) team. This senior, enterprise-wide leadership role focuses on overseeing and advancing BMO’s data management tooling ecosystem, serving as the enterprise service owner for a comprehensive suite of capabilities. This includes metadata management, end-to-end lineage, data quality, data defect workflow, issue management, and adjacent governance platforms, all operationalized through a blend of vendor and proprietary solutions. You will lead both 'Build the Bank' capability development and 'Run the Bank' operational execution, defining product roadmaps and SLAs, driving adoption across various personas and domains, and ensuring seamless integration across the tool suite in collaboration with Enterprise Architecture and Solution Engineering.

As Director, you will lead a multi-disciplinary team of product owners and vendor partners, establish standards and decision guardrails, and manage intake, prioritization, and backlog to maximize value delivery. You will work closely with the CDAO user story intake model, business domain data offices across Operating Groups and Corporate Functions, Technology, Risk and Compliance, and Audit. Your responsibilities include harmonizing data and analytics risk directives into automated processes, improving end-to-end lineage accuracy, operationalizing data quality rule execution, and aligning policy and standards with daily workflows. Your leadership will directly enable AI-ready data, reduce data risk, strengthen regulatory defensibility (including RDARR and BCBS 239 requirements), and scale AI and innovation across BMO through automation, integration, and modern data practices.

If you are passionate about building enterprise platforms that embed data-by-design into measurable business value, and possess the experience to lead large-scale adoption, integration, and continuous improvement within a complex financial services environment, BMO encourages you to apply and help shape the future of data.

What You Will Do

• Define and implement the portfolio/product strategy for data analytics and AI supporting business objectives.
• Partner with designers, data engineers, data scientists, and agile development teams to define and deliver products with a focus on user experience.
• Innovate to enhance and/or develop new products to improve the customer experience.
• Manage risks associated with products to ensure compliance and risk management.
• Build interdependent teams that collaborate across functional and operating groups to create the highest value.
• Act as a trusted advisor to senior leaders for business decisions and strategic initiatives.
• Recommend measures to improve organizational effectiveness; may consult or serve on various committees.
• Manage resources and lead the execution of strategic initiatives to deliver on business and financial goals.
• Develop business cases by identifying needs, analyzing options, and assessing expected return on investment.
• Recommend business priorities, advise on resource requirements, and develop roadmaps for strategic execution.
• Develop the data product strategy, including product lifecycle, for designated portfolios.
• Act as the prime contact for internal/external stakeholder relationships, including regulators.
• Oversee the development of business analytics and insights (e.g., portfolio profitability, product analytics, revenue forecasts).
• Lead change management programs, including readiness assessments, planning, and stakeholder management.
• Lead the development of communication strategies to positively influence behavior.
• Collaborate across BMO to ensure consistency of messaging.
• Oversee the design, development, and implementation of tools and training.
• Lead/oversee vendor relationship management and provide execution guidelines.
• Lead/support contract negotiations with vendors, balancing cost, risk, and performance.
• Set policies for the product portfolio.
• Define the scope of development for new products and ongoing feature enhancements.
• Manage a portfolio of new and existing products, own product roadmaps, and manage backlog items.
• Develop and present business case justifications for new products and feature enhancements.
• Analyze information and metrics for product customer satisfaction and incorporate feedback.
• Maintain understanding of partner and vendor roadmaps and leverage technologies for business value.
• Understand and stay current with emerging technologies, trends, and innovative solutions across the industry.
• Build effective relationships with internal and external stakeholders, including vendors.
• Operate at a group/enterprise-wide level and serve as a senior specialist resource across BMO.
• Apply expertise and creative thinking to unique or ambiguous situations and complex, interdependent problems.
• Anticipate trends and respond by implementing appropriate changes.

Qualifications

• Typically 10-15 years of relevant experience and a post-secondary degree in a related field or an equivalent combination of education and experience.
• Solid background in Enterprise Data Governance, having held senior leadership roles (including Director level) while steering the Data Governance function.
• Significant acumen in Product Management/Ownership from POC to MVP to Execution and delivery (full cycle), including defining product roadmap & strategy.
• Significant exposure and experience with tools such as Collibra, Informatica, Alation, Manta, Solidatus, BigID, Microsoft Fabric, Purview, Wiz, IDQ, Monte Carlo, Neteeza, AWS, Azure, Microsoft Power Platforms (covering all data management cycles from data cataloguing to data lineage, data quality, metadata, etc.).
• Expert-level collaboration and team skills, with a focus on cross-group collaboration.
• Ability to manage ambiguity and comfort working across teams and business units, fostering exceptional stakeholder relationships and synergy.

Key Skills/Competency

• Enterprise Data Governance
• Product Management
• Data Strategy
• Data Lineage
• Data Quality
• Metadata Management
• Regulatory Compliance (RDARR, BCBS 239)
• Vendor Management
• Team Leadership
• Cloud Data Platforms (AWS, Azure)