Senior Director of Data Management

• 10 years of experience leading enterprise data management governance or related functions.

• Proven success building and scaling data product operating models that deliver measurable business results.

• Deep expertise with enterprise systems (SAP S/4 C4C BTP BCP) modern data platforms (Snowflake dbt Microsoft Purview) and geospatial systems (ESRI).

• Strong knowledge of AI/ML data readiness and experience enabling analytics from diverse sources including transactional geospatial industrial and unstructured data.

• Demonstrated ability to lead large-scale transformations in complex environments balancing agility with long-term value delivery.

• Skilled communicator and change leader with the ability to influence across all levels of the organization.

Compensation:This role is eligible for our annual merit-increase program and we are targeting a salary range of $191900-$291800 based on your level of skills qualifications and experience. You will also be eligible for our Annual Incentive Program which offers a cash bonus targeting 35% of base pay. Potential plan funding may range from zero to two times that target.

This position is also eligible to receive between $90000 in restrictive stock units on an annual basis as part of our Long Term Incentive Plan.

Benefits:When you join our team you and your dependents will be offered coverage under our comprehensive employee benefits plan which includes medical dental vision short and long-term disability and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism sponsor a host of diversity networks promote mentoring and provide training and development opportunities to help you chart your path to a fulfilling career.

Retirement:Employees are able to enroll in our companys 401k plan which includes a paid company match in addition to our annual contribution equal to 5% of your base salary.

Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of addition after being employed for six months eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year providing a total of 88 holiday hours and paid parental leave for all full-time employees.

Attention Internal Applicants:To ensure transparency across the organization please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation please reach out to your HR Representative for guidance. For more information on how to apply including best practices for updating your profile or partnering with HR and Recruiting please visit our internal applicant page on Roots: is an equal opportunity employer. Inclusion is one of our five core valuesand we strive to maintain a culture where all our people feel a sense of belonging opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join stay and thrive with our team.

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 Weyerhaeusers operations AI initiatives and digital transformation. You will lead the creation of trusted governed and reusable data products that unlock measurable business value from EBITDA impact to customer experience.

The Senior Director of Data Management will oversee the organizations data management strategy ensuring that data assets are governed accessible accurate secure and effectively utilized to achieve Weyerhaeusers strategic goals. This leader will work closely with business units IT and the AI team to develop and maintain a robust data ecosystem that supports master data management metadata management data quality and compliance. This role will play a critical part in managing both structured and unstructured data and ensuring alignment with Weyerhaeusers AI and digital innovation initiatives.

Key Responsibilities

Enterprise Data Strategy and Leadership

• Define and execute Weyerhaeusers enterprise data management strategy aligning with the companys vision to be the most customer-driven company in the industry.

• Collaborate with business leaders to identify how data can drive improvements in decision-making process optimization and future business opportunities including AI applications.

• Lead the data team to create a strategy vision and scalable data product operating model ensuring consistency trust and reusability across all domains.

• Embed and operationalize Weyerhaeusers governance framework ensuring ownership standards and policies become part of daily workflows across all domains.

• Foster a metrics-driven culture focused on measuring quality adoption efficiency and business value to maximize enterprise-wide impact and return on investment.

Customer-Driven Data Products

• Build and govern data products that span silviculture demand forecasting pricing manufacturing real estate energy and other domains providing clear service levels and objectives.

• Partner with business and product teams to back-solve from customer and business outcomes ensuring data products directly support decision-making and value creation.

• Deliver data products with predictable service levels (SLAs) to ensure trust consistency and measurable value creation.

Enterprise Industrial and Geospatial Data Excellence

• Ensure SAP systems (S/4 C4C BTP BCP) are fully integrated into the enterprise data architecture providing consistent trusted data across finance supply chain customer and operations.

• Govern Industrial Operations Data (MES and IIoT) to ensure manufacturing and equipment data from mills and forests is accurate timely and connected to enterprise platforms enabling predictive maintenance yield optimization safety and cost efficiency.

• Expand stewardship of geospatial data (ESRI LiDAR satellite forest mapping) as a core domain powering digital twins sustainability reporting and AI-enabled forest management.

• Transform unstructured data into a governed high-value asset by establishing unified oversight and insight across platforms like SharePoint ServiceNow SAP UKG and others.

• Unlock business value by combining enterprise industrial and geospatial data into a unified governed ecosystem that drives resilience customer insights and operational excellence.

AI-Ready & Advanced Data Capabilities

• Ensure Weyerhaeusers data is engineered to accelerate analytics and AI reducing prep time improving quality and enabling feature store governance for ML.

• Lead teams to develop semantic models and conversational readiness for natural-language analytics Microsoft Copilot and AI agent use cases.

• Oversee governance of structured unstructured and data (e.g. IoT sensor data drone imagery MES/IIoT) making them discoverable trusted and AI-ready.

Governance and Trust

• Accelerate Weyerhaeusers enterprise data management and governance strategy while ensuring alignment with organizational goals.

• Expand and enforce enterprise definitions lineage and stewardship across all domains.

• Unify policies for compliance (chain-of-custody sustainability privacy) while enabling speed agility and innovation.

• Implement data security protocols to safeguard sensitive information and ensure compliance with legal regulatory and contractual requirements.

Technology & Tools

• Ensure Weyerhaeusers hybrid enterprise and modern data stack including SAP Snowflake dbt Purview and ESRI work together seamlessly to support enterprise-scale analytics and AI.

• Evaluate and implement emerging tools that improve data observability lineage and real-time decision-making.

Collaboration & Culture

• Work closely with leaders across the enterprise to co-create solutions that deliver measurable outcomes.

• Build strong partnerships with mill and operations leaders to ensure manufacturing and SAP data are reliable accessible and actionable.

• Lead data literacy and culture programs equipping employees across offices mills and forests to confidently use and verify data.