indeed
VP, Data Product Owner
Brookfield Asset Management
Toronto, CAN
Full Time
Director
Yesterday
Enterprise Data PlatformsData ProductsAnalytics EcosystemsProduct StrategyStakeholder ManagementCross functional Coordination
Free
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Enterprise Data PlatformsData ProductsAnalytics Ecosystems
About the Role
Brookfield Asset Management seeks a VP, Data Product Owner to lead enterprise data product strategy, prioritization, and business adoption. This role partners with business, architecture, engineering, and governance leaders to define product vision and ensure delivery of trusted data capabilities.
Key Skills for This Role
Enterprise Data PlatformsData ProductsAnalytics EcosystemsProduct StrategyStakeholder ManagementCross functional Coordination
Responsibilities
- Define and execute the enterprise data product strategy aligned to business priorities
- Partner with business stakeholders to identify and prioritize high value data product opportunities
- Translate business requirements into 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
- Ensure data products align to governance, security, quality, and operational standards
- Drive consistency in data product design, user experience, and lifecycle management across regions and functions
Requirements
- Strong understanding of enterprise data platforms, data products, and analytics ecosystems
- Ability to assess business needs and prioritize high value opportunities
- Strong executive communication and stakeholder management skills
- Experience leading product initiatives across global teams
- Understanding of data governance, risk, control, and security practices
- Experience within asset management, private markets, or financial services (preferred)
- Familiarity with product operating models, agile delivery, and data governance frameworks (preferred)
- Advanced degree in Business, Technology, Engineering, Finance, or related field (preferred)
Full Job Posting
Role Summary
- Leads the product strategy, prioritization, and business adoption of enterprise data products that support decision making, operational efficiency, and scalable analytics across the organization.
Key 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.
Skills & Qualifications
- Technical knowledge and systems expertise: Strong understanding of enterprise data platforms, data products, analytics ecosystems, and the data foundations required for scalable business use cases.
- Analytical and problem solving skills: Ability to assess business needs, prioritize high value opportunities, and balance feasibility, risk, and business value.
- Communication and collaboration capabilities: 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.
- Understanding of technology governance, security, or operational practices: Strong understanding of data governance, risk, control, security, and operating standards, with experience embedding them into product delivery.
Preferred Qualifications
- 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.
Brookfield Culture
- Brookfield has a unique and dynamic culture. We seek team members who have a long term focus and whose values align with our Attributes of a Brookfield Leader: Entrepreneurial, Collaborative and Disciplined.
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