Senior Director of Data Management
Listed on 2026-03-02
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IT/Tech
Data Engineer, Data Science Manager
Weyerhaeuser is a leader in sustainable forestry and wood products, dedicated to innovation and operational excellence. As Senior Director of Data Management reporting to the Vice President of AI and Data, you will be accountable for building a customer-driven data foundation that powers Weyerhaeuser’s operations, AI initiatives, and digital transformation. You will lead the creation of trusted, governed, and reusable data assets that unlock measurable business value — from EBITDA impact to customer experience.
This role leads the enterprise data platform, data engineering, data products, and governance capabilities that underpin Weyerhaeuser’s commercial and operational performance. The Senior Director will architect and scale a cohesive data ecosystem that integratesbusinesssystems, manufacturing telemetry, and geospatial datasets into reliable, reusable, AI-ready data products. The mandate is to strengthen data reliability, increase decisionspeed, enable advanced analytics and AI driven capabilities, and tie platform investments directly to measurable financial and operational outcomes, including pricing precision, demand forecasting, supply chain optimization, manufacturing performance, and forest intelligence.
Key Responsibilities Enterprise Data Strategy and LeadershipYou will define and advance the enterprise data architecture that underpins analytics, AI, and intelligent automation across Weyerhaeuser.
Establish a cohesive architecture integrating ERP systems, manufacturing telemetry, and geospatial datasets into a unified enterprise model
Standardize ingestion and modeling patterns across batch, streaming, and industrial environments
Reduce fragmentation and increase reuse of enterprise data assets
Ensure the platformoperateswith reliability, performance, security, and cost discipline
Rationalize legacy pipelines and promote scalable enterprise data services
Data must directly improve financial performance and operational efficiency. This role partners closely with business leaders to prioritize and deliver capabilities that strengthen margin, throughput, and decision velocity.
Enable governed, enterprise-wide pricing and margin analytics
Improve demand forecasting,logisticsperformance, and inventory positioning
Strengthen manufacturing uptime and asset reliability through standardized industrial data integration
Support land valuation, sustainability analytics, and alternative revenue modeling
Translate platform investments into demonstrablecontributionto profitability
Predictive analytics, generative AI, and intelligent automationare critical to Weyerhaeuser’s growth. In this role, you will ensure thatourenterprise data foundationsenable scalable, production-grade deployment of these capabilities.
Collaborate with AI solution teams to define reliable data contracts, feature pipelines, and production data standards
Enable deployment of predictive ML models supporting forecasting, optimization, and reliability analytics
Provide governed semantic layers and trusted enterprise data to support generative AI applications and enterpriseagents
Support integration of agent-based systems capable of reasoning across enterprise data and orchestrating multi-step workflows
Establish monitoring, reliability, and lifecycle management standards for AI-enabled systemsoperatingin business-critical environments
Governance is embedded into architecture and workflows, ensuring trust without slowing execution.
Operationalize a federated governance model with domain accountability
Automate metadata capture, lineage tracking, and critical data monitoring
Strengthenexecutive trust in enterprise metrics and AI outputs
Reduce duplication and conflicting definitions across business units
Ensure regulatory, financial, and operational data integrity
The Senior Director leads distributed teams across data engineering, data products, and governance, whileoperatingas a strategic partner to executive leadership.
Build high-performing teams capable of scaling enterprise data, AI, and automation…
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