Information Governance Experienced Analyst

Information Governance Experienced Analyst

At Weyerhaeuser, we are the world's premier timber, land, and forest products company. Sustainability is the founding concept of our business, and our values drive every decision to ensure we continue to lead the forestry industry in sustainability practices. And we know about sustainability – we led it in the forestry industry when we planted our first seedling by hand in 1938.

We recognize that our success is dependent on the success of our people. For over 125 years, our Weyerhaeuser team has been making a difference in the world – from the seedlings we plant, to the forests and trees we nurture, we ensure every acre is managed with diligence, patience and pride. That's the Weyerhaeuser way.

Weyerhaeuser recognizes the critical role of data, analytics, and reporting in driving business success and gaining a competitive advantage. Our mission is to establish an exceptional information management environment that facilitates actionable analysis, safeguards vital information, ensures its integrity, and maximizes its value. The Information Governance team's primary focus is to support the execution of Weyerhaeuser's enterprise data and analytics strategy to leverage information as a business asset, enabling sustainable growth, profitability, and internal efficiency through improved data structures, reporting, analytical tools, and governance.

We are also responsible for fostering a more data literate culture across the enterprise.

Weyerhaeuser is seeking an Information Governance Experienced Analyst to drive the execution and scaling of enterprise data governance practices across business domains. This role sits at the intersection of business, data, and technology, partnering with Data Owners, Data Stewards, business stakeholders, and IT to ensure business-critical data is consistently defined, governed, and usable across systems. The analyst supports and leads execution of governance activities within defined enterprise standards and with guidance from governance leads from intake through delivery, translating governance standards into practical, scalable outcomes.

This includes documenting data definitions, mapping data flows, enabling consistent application of standards, and improving data quality and transparency. Work is performed in Microsoft Purview and related tools (e.g., Power BI) to manage business glossary terms, Critical Data Elements (CDEs), lineage, and data product documentation, as well as governance reporting and dashboards. As a full-time role, this position contributes to the continuous improvement of governance processes, templates, and tools to support scalable and consistent adoption across domains.

Responsibilities include:

• Governance Execution & Delivery
• Metadata & Documentation
• Data Quality, Analysis & Reporting
• Stakeholder Engagement & Enablement
• Data Product Adoption & Value Realization
• Standards & Continuous Improvement

Required qualifications include:

• Bachelor's degree in Information Systems, Business, Computer Science, or related field (or equivalent experience)
• 3 - 5+ years of experience in data governance, data management, data analysis, or related roles
• Experience working across business and technical teams to define and govern data
• Strong understanding of data governance concepts, including business glossary, Critical Data Elements (CDEs), lineage, and data quality
• Ability to apply data governance concepts to business use cases with guidance as needed
• Ability to translate data governance concepts into practical, business-aligned outcomes within processes, reporting, and decision-making
• Strong analytical skills (data flow analysis, quality assessment, issue identification)
• Ability to create clear documentation, business rules, and governance materials
• Proficiency in Power BI (or similar) for data validation, analysis, and governance reporting
• Strong communication and facilitation skills
• Ability to work effectively in ambiguous situations, applying sound judgment and escalating where needed

Preferred qualifications include:

• Familiarity with how data is structured, transformed, and integrated across systems (e.g., source systems,…