Information Governance Experienced Analyst

Weyerhaeuser•Seattle, WA

1d•$82,533 - $123,800•Remote

About The Position

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.

Requirements

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

Nice To Haves

Familiarity with how data is structured, transformed, and integrated across systems (e.g., source systems, pipelines, data warehouses), with the ability to engage effectively with technical teams
Experience working with both business stakeholders and technical teams to align data definitions and usage across systems
Hands-on experience with Microsoft Purview Unified Platform (or similar metadata/ governance tools)
Experience in enterprise data environments (e.g., SAP)
Ability to apply data governance concepts in business contexts; experience in domains such as supply chain or finance is helpful but not required
Demonstrated ability to connect business needs with data governance concepts (“talk the talk” and translate to outcomes)

Responsibilities

Lead execution of governance work from intake through delivery within established governance frameworks and standards, ensuring outputs are accurate, complete, and stakeholder-ready
Apply governance standards by translating requirements into business-aligned metadata, documentation, and processes that enable consistent use of data
Support and lead discovery with business stakeholders and technical teams to document data creation and flows in alignment with established governance approaches to understand data creation, system flows, dependencies, and business usage, ensuring governance reflects how data is actually produced and used across systems
Document and maintain business glossary terms, CDEs, lineage, and trusted, reusable data product artifacts in Microsoft Purview, contributing to increased metadata completeness and usability to support consistent definition and understanding of critical data across domains
Ensure governance artifacts reflect real-world usage and align to enterprise standards, improving consistency and trust in governed data assets
Produce clear, concise, stakeholder-ready deliverables that enable adoption of governed data and support measurable increases in governed asset usage.
Analyze and support resolution of data quality issues, inconsistencies, and control gaps, including identifying root causes across upstream systems, transformations, and data flows
Perform data validation and quality checks across master and transactional data, contributing to improved data quality scores and reduced defect rates over time
Use Power BI to analyze datasets, identify trends, and communicate insights through dashboards
Contribute to the compilation and publication of quarterly governance dashboards, highlighting trends in metadata completeness, data quality and adoption of governed data
Facilitate governance sessions and working meetings; capture decisions, risks, and actions that drive increased stewardship engagement and measurable progress against governance priorities
Partner across business and IT to define data, clarify business rules, and align governance requirements with system implementation, ensuring consistency between business definitions and technical execution
Develop and deliver training, presentations, and enablement materials to improve data fluency supporting more consistent interpretation and use of governed data across business teams
Support Enterprise Data Council (EDC) engagement by preparing inputs, summarizing outcomes, and maintaining visibility into decisions and actions
Support identification, documentation, and onboarding of trusted, reusable data products, contributing to increased visibility, discoverability and adoption of trusted data assets usd in reporting, analytics, and business decision-making
Partner with stakeholders to promote usage of governed data products, enabling increased adoption of trusted data in reporting, analytics, and decision-making
Contribute to the evolution of governance processes, standards, templates, and tooling to improve consistency, scalability, and measurable governance adoption
Identify and communicate opportunities to improve governance effectiveness, supporting incremental improvements in data quality, metadata completeness and stakeholder engagement.
Contribute to standing up AI governance capabilities by supporting the development of foundational data governance capabilities that improve transparency, traceability, and responsible use of data in AI and advanced analytics