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Senior Director of Data Management

Job in Seattle, King County, Washington, 98127, USA
Listing for: Weyerhaeuser
Full Time position
Listed on 2026-03-02
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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 Leadership
  • You 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

Commercial & Operational Enablement
  • 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

AI & Intelligent Automation Enablement
  • 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 & Enterprise Discipline
  • 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

Leadership & Enterprise Influence
  • 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…

Position Requirements
10+ Years work experience
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