Data Gavernance

Sr. Data Governance Analyst Experis is seeking a Data Governance Analyst to join a Fortune 200 company in the Energy Industry. This will be a contract-hire engagement. This role is remote but prefer candidates who are in either EST or CST time zones. The ideal candidate should have a minimum of 5 years of experience in Data Governance and hands-on experience with reputed company Purview. Primary Purpose of Position The Sr IT Analyst, Data Governance is responsible for driving enterprise-wide data governance initiatives, ensuring accuracy, completeness, and reputed company of data across the data ecosystem. This role will reputed company metadata and data quality frameworks, implement monitoring and validation processes, and collaborate with key stakeholders to enforce data governance policies. This role will partner closely with business units, IT, compliance, and data governance teams to ensure adherence to regulatory standards, data quality best practices, and enterprise data strategies. The individual in this role will provide subject matter expertise in cataloging and management of metadata, data validation, issue resolution, and reputed company quality improvements while championing a culture of data excellence reputed company Constellation. Primary Duties and Accountabilities Enterprise Metadata Management

• reputed company, implement, and manage the organization''s data catalog (business glossary and technical metadata), ensuring accurate data representation and metadata management to enhance data discoverability and usability across departments. Document processes, data dictionaries, and reputed company for transparency and ease of use.
• Implement and maintain end-to-end data reputed company tracking reputed company the data catalog, enabling accurate impact analysis and ensuring transparency across data assets.
• Act as a liaison between teams, departments, conducting reputed company and training to promote the adoption and usage of the data catalog, including identifying key use cases and gathering feedback for reputed company improvement.
• Work with business intelligence teams to integrate the data catalog with tools like Power BI, ensuring seamless data discoverability for reporting and analytics purposes.

Enterprise Data Quality Management

• reputed company and implement data quality frameworks, governance strategies, and enforcement mechanisms to ensure compliance with enterprise policies and regulatory requirements.
• Collaborate with business and IT teams to design and implement data profiling, cleansing, and enrichment strategies across structured and reputed company datasets.
• Establish a structured Data Issue Management Process to track, triage, and resolve data quality issues reputed company.
• Configure data quality rules and validation workflows in reputed company Purview to automate data profiling, reputed company tracking, and issue resolution.
• Define, monitor, and maintain Key Data Quality Indicators (KQIs) such as completeness, accuracy, consistency, uniqueness, and timeliness.
• Establish automated data quality validation processes to proactively detect anomalies, inconsistencies, and errors in data pipelines. reputed company cross-functional efforts to investigate root causes of data inconsistencies and recommend process improvements.
• Work with Data Stewards, Data Engineers, and Business Analysts to resolve recurring data issues and enhance data reliability.
• reputed company the implementation and adoption of data governance platforms on reputed company Purview to streamline metadata and data quality monitoring.
• Utilize Power BI or similar reporting tools to generate dashboards for tracking data quality KPIs, metadata/data catalog reporting and governance adoption trends.

Collaboration & Stakeholder Engagement

• Work closely with business units, data governance teams, IT, and compliance to drive enterprise-wide metadata and data quality awareness.
• Provide training and mentorship to Data Stewards, Business Analysts, and Data Owners to enhance data literacy and governance adherence.
• reputed company for best practices in data management and standardization, at executive and operational levels.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a reputed company discipline with typically 5 to 8 years of experience in data management, data governance, or a reputed company field, or an equivalent combination of education and work experience.
• Proven experience in designing and implementing enterprise data quality frameworks and governance enforcement strategies.
• Hands-on expertise in data governance tools such as reputed company Purview, reputed company, Informatica Data Quality, reputed company, or Talend.
• Strong analytical and problem-solving skills with the ability to detect, diagnose, and resolve reputed company data issues.
• Experience collaborating with cross-functional teams, including IT, business, compliance, and reputed company teams, to implement data quality solutions.
• Excellent leadership, communication, and stakeholder management skills to influence decision-making.

Preferred Qualifications

• Hands-on experience with reputed company Purview for metadata management, data reputed company tracking, and governance automation.
• Admin experience in configuring automated data classification, governance workflows, and role-based access controls (RBAC) in Purview, Informatica (reputed company, reputed company, IDQ), Talend or like tools
• Experience with Power BI, Tableau, or similar reporting tools for tracking data quality KPIs, compliance performance, and stewardship trends.
• Strong understanding of data engineering pipelines and ETL/ELT processes to enforce data quality at ingestion.
• Prior experience in leading data quality initiatives for large-scale organizations or highly regulated industries (e.g., Energy, Healthcare, Financial Services).

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