Data Governance Analyst - USA

Location: Seattle, United States

Department: Product Engineering

Experience: 10 - 15

• Serve as the primary liaison between business stakeholders, the Data Governance Council, data domain owners, and technical teams to elicit, document, and prioritize data governance requirements across enterprise data domains.
• Facilitate data governance workshops and working sessions to establish business definitions, data standards, business rules, data definitions, and domain onboarding plans.
• Profile data and analyze source systems and data structures to assess content, quality, and structure, supporting accurate mapping and migration of master data and data hub models.
• Develop comprehensive data mapping documents, including source-to-target specifications and transformation logic.
• Work with Master Data Management (MDM), integration, and platform teams to validate source-to-target mappings and ensure consistency with approved business definitions, data standards, and governance policies.
• Assist in identifying data quality issues and contribute to metadata and lineage documentation.
• Create and maintain data catalogs to ensure consistent documentation, easy discovery, and effective management of enterprise data assets.
• Coordinate with platform subject matter experts (SMEs) to validate data mapping requirements and support successful implementation within MDM, data hub, and integration platforms.
• Track mapping progress, dependencies, and issues across teams and tools, providing timely updates and resolving blockers.
• Collaborate with business stakeholders and project teams to understand data requirements for HR, Finance, Legal, and Professional Services functions.
• Analyze and document existing data sources, structures, and business rules within legacy systems.
• Develop data mapping specifications to ensure accurate migration to new systems.
• Support the extraction, transformation, and loading (ETL) of data, including profiling, cleansing, and validating migrated data.
• Perform data quality assessments and implement data validation processes to ensure completeness and accuracy.
• Assist in designing and testing data integrations between new enterprise platforms and other business applications.
• Create and maintain comprehensive documentation of data models, flows, and transformation rules.
• Identify and resolve data-related issues during migration and post-implementation.
• Provide regular updates and insights to project leaders and stakeholders regarding data migration progress and risks.
• Support ongoing data governance and quality initiatives as new systems are adopted.

• Bachelors degree in computer science, Information Systems, Data Analytics, or related fields.
• The ideal candidate must have 7-9 years of experience in data governance, data analysis, or data management role, preferably supporting large-scale system implementations or migrations.
• The ideal candidate must have strong experience with data analysis, data profiling, data mapping, and ETL processes.
• Demonstrated experience working with Data Governance Councils, Data Stewardship teams, or similar governance bodies to define and implement data governance requirements.
• Strong experience gathering, documenting, and translating business requirements into actionable data governance, data quality, and data management solutions.
• Demonstrated experience conducting business and data analysis activities, including requirements elicitation, stakeholder interviews, process analysis, and documentation.
• Experience analyzing enterprise data domains and business processes to identify governance opportunities, define policies, and improve data quality and consistency.
• Proficiency with SQL, Python, and experience working with relational databases.
• Excellent analytical skills with the ability to interpret and translate business requirements into technical specifications.
• Strong attention to detail and commitment to data quality.
• Effective verbal and written communication skills, with demonstrated ability to facilitate workshops and collaborate across business and technical teams.

• Experience with HRIS, Finance, Legal, or Professional Services Automation systems.
• Experience participating in or leading Enterprise Data Governance Council initiatives.
• Familiarity with MDM, data cataloging, and data quality best practices.
• Experience with data governance platforms such as Microsoft Purview, Collibra, Informatica, or Alation.
• Experience establishing business glossaries, data stewardship processes, and metadata management practices.
• Experience in the insurance, risk management, or financial services sectors.
• Knowledge of regulatory requirements related to data privacy and security.