Product Portfolio Manager, Enterprise AI

At Weyerhaeuser, we are leveraging AI to drive innovation and operational excellence across all aspects of our business. With over a century of leadership in sustainable forestry and real estate, we continue to push the boundaries of technology to optimize performance across timberlands, wood products, real estate, and corporate operations. As a key player in the forest products industry, you'll have the unique opportunity to define and lead a brand-new AI product portfolio spanning our corporate support functions - come grow with us! As Product Portfolio Manager, Enterprise AI, you will build and lead a new AI product portfolio focused on driving efficiency, cost reduction and productivity across Weyerhaeuser's corporate support functions - including IT service desk and support operations, procurement, finance, HR and legal-style processes. This is a new pillar within the AI product organization; you will own the portfolio's strategy end to end: defining the roadmap, building the business case, driving delivery and achieving aggressive targets for impact. Given the breadth of the mandate, this role calls for a seasoned product leader capable of managing a broad, cross-functional portfolio rather than a single line of business. Primary Responsibilities - Strategic AI Roadmaps: Develop and execute a product strategy for AI-driven automation across corporate support functions, identifying where an agent-assisted or automated flow can reduce cost, improve response time, or free up capacity. Clearly articulate milestones, KPIs, and alignment with company objectives. - Lifecycle Management: Lead the full AI lifecycle - from ideation, business case validation, and prioritization to implementation, scaling, ongoing measurement, and continuous improvement-leveraging Weyerhaeuser’s standardized AI Factory framework. - Opportunity Identification: Conduct process and value-chain analysis across Support, Procurement, Finance, and Legal-style workflows to identify and prioritize automation opportunities, in partnership with the functional leaders who own each process today. - Business Impact Measurement: Create comprehensive business cases, perform ROI and financial analyses, and meticulously track outcomes to verify the strategic and economic value delivered by AI initiatives. - AI Governance: Ensure AI deployments adhere strictly to ethical standards, data privacy regulations, and internal governance frameworks, maintaining compliance and mitigating risk. - Stakeholder Collaboration: Engage cross-functionally with business leaders, data scientists, and external technology partners to define and deliver targeted AI solutions. - Change Leadership: Effectively manage organizational change, promoting AI literacy and fostering a proactive culture around AI through targeted training programs, clear communication, and stakeholder engagement initiatives. - As the pillar grows, help define staffing needs and mentor junior product management talent added to the team