Product Manager, Business Solutions 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 sustainability. As a key player in the forest products industry, you’ll have the unique opportunity to manage AI-driven initiatives that enhance decision-making, improve efficiency, and contribute directly to our strategic goals. If you’re ready to join a technology-driven company that’s shaping the future of sustainable business operations – come grow with us! As the Product Manager, AI Business Solutions, you will be responsible for identifying, developing, and managing AI-driven solutions across Weyerhaeuser's business value chains. You will analyze end-to-end processes across multiple divisions to determine how AI can enhance revenue streams, reduce operational costs, optimize pricing, and refine our distribution networks. Your focus will be on developing solutions that align with Weyerhaeuser’s strategic objectives, driving growth and operational excellence. Primary Responsibilities - Define and execute a product strategy that leverages AI to drive cost reduction, revenue growth, and operational efficiencies across Weyerhaeuser’s business lines. - Conduct value chain analysis across businesses and distribution to identify opportunities for AI-enhanced decision-making, pricing optimization, and process automation. - Partner with stakeholders across engineering, data science, and business units to align AI products with organizational needs and goals. - Develop and manage a comprehensive AI roadmap, setting clear milestones and communicating progress to stakeholders. - Conduct market and competitive research to assess emerging AI technologies and their applicability to Weyerhaeuser’s operations. - Create business cases with ROI analysis and success metrics for AI initiatives to ensure they deliver measurable value. - Oversee the product lifecycle from ideation through launch, focusing on adoption, performance measurement, and iterative improvement. - Oversee the end-to-end lifecycle of AI products, from ideation to launch, with a focus on adoption, performance measurement, and continuous improvement. - Develop success metrics and KPIs for each AI initiative, ensuring that projects deliver measurable business value.