VP, AI Product Owner

Location Brookfield Place New York - 225 Liberty Street, 8th Floor

Technology Services Technology Services (TS) is responsible for delivering all enterprise infrastructure, applications and related end user technology services across all Brookfield business groups.

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. Brookfield is committed to the development of our people through challenging work assignments and exposure to diverse businesses.

Job Description Role Summary Leads the enterprise product strategy, prioritization, and value realization for artificial intelligence capabilities across the organization. This role partners with business, data, engineering, and technology leaders to identify high-value AI use cases, translate them into scalable product roadmaps, and ensure solutions deliver measurable business outcomes. The role is accountable for aligning AI, GenAI, and agent-based capabilities to business priorities, governance requirements, and strong enterprise data foundations.

Key Responsibilities

• Define and execute the enterprise AI product strategy aligned to business, operating, and investment priorities
• Identify, assess, and prioritize high-value AI, GenAI, and agent-based use cases across business functions
• Own the product roadmap, intake, and prioritization process for AI initiatives and platform capabilities
• Translate business needs into clear product requirements, delivery plans, and success measures
• Partner with data, engineering, architecture, and governance teams to deliver scalable and production-ready AI solutions
• Establish product standards for responsible AI, model transparency, risk controls, and enterprise adoption
• Drive the integration of AI capabilities into business workflows, decision processes, and operating platforms
• Lead stakeholder engagement across senior business and technology leadership to align priorities and remove delivery barriers
• Monitor product performance, user adoption, and realized value to inform roadmap decisions and continuous improvement
• Shape the operating model for AI products, including lifecycle management, release planning, and change enablement

Key Deliverables

• Approved and prioritized AI product roadmap aligned to strategic business objectives
• Delivery of AI, GenAI, and agent-based use cases with defined business value targets and implementation milestones
• Documented product requirements, use case definitions, and success metrics for prioritized AI initiatives
• Measurable adoption of AI products across target business functions and user groups
• Demonstrated improvement in operational efficiency, decision support, or risk management from deployed AI capabilities
• Established governance controls and product management processes for enterprise AI solutions
• Integration of AI products with enterprise data, workflow, and operating platforms
• Regular reporting of product performance, delivery progress, and realized value to senior stakeholders

Required Experience

• 12+ years of experience in product management, data, analytics, artificial intelligence, or related technology roles
• 5+ years of experience leading complex, cross-functional product or transformation initiatives in enterprise environments
• Proven experience defining product strategy and delivering technology capabilities that drive measurable business outcomes
• Experience working with AI, advanced analytics, automation, or digital products in production environments
• Experience operating in financial services, asset management, or similarly complex and regulated industries
• Experience partnering with engineering, architecture, data, and business teams to deliver enterprise platforms or products

Skills & Qualifications

• Technical knowledge and systems expertise: Strong understanding of AI, GenAI, machine learning, data platforms, and the data, governance, and architecture foundations required for scalable AI solutions.
• Analytical and problem-solving skills: Ability to identify high-value use cases, translate business needs into product priorities, and balance feasibility, risk, and business value.
• Communication and collaboration capabilities: Strong executive communication, stakeholder management, and cross-functional al…