VP, Data Product Owner

Brookfield Asset Management • Toronto, ON

7d • Onsite

About The Position

Leads the product strategy, prioritization, and business adoption of enterprise data products that support decision-making, operational efficiency, and scalable analytics across the organization. This role partners with business, architecture, engineering, and governance leaders to define product vision, translate business needs into clear roadmaps, and ensure delivery of trusted, high-value data capabilities. The role is accountable for aligning data product investments to business outcomes, adoption, and enterprise standards.

Requirements

• Strong understanding of enterprise data platforms, data products, analytics ecosystems, and the data foundations required for scalable business use cases.
• Ability to assess business needs, prioritize high-value opportunities, and balance feasibility, risk, and business value.
• Strong executive communication, stakeholder management, and cross-functional alignment skills.
• Ability to work in cross-functional or global teams: Experience leading product initiatives across global teams and coordinating across business and technology functions.
• Strong understanding of data governance, risk, control, security, and operating standards, with experience embedding them into product delivery.

Nice To Haves

• Experience within asset management, private markets, financial services, or similar complex industries.
• Experience supporting data products used for analytics, reporting, automation, or AI use cases.
• Familiarity with product operating models, agile delivery practices, and data governance frameworks.
• Advanced degree in Business, Technology, Engineering, Finance, or a related field.

Responsibilities

• Define and execute the enterprise data product strategy aligned to business priorities and operating needs.
• Partner with business stakeholders to identify, assess, and prioritize high-value data product opportunities.
• Translate business requirements into clear product roadmaps, release priorities, and delivery plans.
• Lead cross-functional coordination across product, data engineering, architecture, governance, and business teams.
• Establish product success measures, adoption plans, and feedback loops to improve value delivery.
• Ensure data products are aligned to governance, security, quality, and operational standards.
• Drive consistency in data product design, user experience, and lifecycle management across regions and functions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior