Director, Enterprise Data Management Platforms & Governance Tooling

Final date to receive applications: 03/30/2026

Address: 320 S Canal Street

Job Family Group:
Data Analytics & Reporting

WE'RE BACK IN OFFICE! Please note this role is subject to Hybrid Work Model (2-3 days per week in office) and further subject to any company policy changes in the future.

BMO is transforming how the enterprise manages, governs, and activates data to enable trusted, connected, and AI‑ready insights at scale.

To accelerate this ambition, BMO is seeking a Director, Enterprise Data Management Platforms & Governance Tooling to join the Enterprise Data Office within the AI+ Research & Commercialization (ARC) team. In this senior, enterprise‑wide leadership role, you will oversee and advance BMO's data management tooling ecosystem at scale, serving as the enterprise service owner for the tooling and capabilities suite inclusive of, but not limited to, metadata management and end‑to‑end lineage, data quality, data defect workflow and issue management, and adjacent governance platforms operationalized by a suite of vendor and proprietary solutions.

You will lead both ‘Build the Bank’ capability development and ‘Run the Bank’ operational execution, set product roadmaps and SLAs, drive adoption across personas and domains, and ensure seamless integration across the tool suite in partnership with Enterprise Architecture and Solution Engineering.

As the Director, you will lead a multi‑disciplinary team of product owners and vendor partners, establish standards and decision guardrails, and own intake, prioritization, and backlog management to maximize value delivery. Working closely with the business-driven CDAO user story intake and delivery model, business domain data offices across Operating Groups and Corporate Functions, Technology, Risk and Compliance, and Audit, you will harmonize data and analytics risk directives into automated and repeatable processes, improve end‑to‑end lineage accuracy, operationalize data quality rule execution, and align policy and standards with day‑to‑day 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 enable data‑by‑design into measurable business value, and you have the experience to lead large scale adoption, integration, and continuous improvement in a complex financial services environment, we encourage you to apply and help us shape the future of data at BMO.

• Define and implement the portfolio / product strategy for data analytics and AI that support 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 in order 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 for all stakeholders.
• Act as a trusted advisor to senior leaders for making business decisions and implementing strategic initiatives.
• Recommend measures to improve organizational effectiveness.
• May consult to or serve on various committees and task forces.
• Manage resources and leads the execution of strategic initiatives to deliver on business and financial goals.
• Develop the business case by identifying needs, analyzing potential options and assessing expected return on investment.
• Recommend business priorities, advises on resource requirements and develops roadmap for strategic execution.
• Develop the data product strategy, including product lifecycle, for designated portfolios to achieve business objectives.
• Act as the prime contact for internal/external stakeholder relationships, which may include regulators.
• Oversee the development of business analytics and insights including: portfolio profitability tracking, product analytics, revenue forecasts, operations metrics, trend analytics and…