Data Governance Analyst - Remote

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Apetan Consulting, is seeking the following. Apply via Dice today! Job Title: Data Governance Analyst Location: Remote (preference for EST or CST) Contract: 8 months (will be extended long term if performing well) Notes from Architect: • Candidates must have Microsoft Purview, DataBricks, and Unity experience. Those are in order of importance, especially the Purview. If they don’t have Purview then they won’t even be considered by the hiring manager. Purview is THE most important part of the position, candidates need to be able to discuss the in’s and out’s of how they use Purview for Data Governance. Job Description: Sr. Data Governance Analyst Client 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 Microsoft Purview. Primary Purpose Of Position The Sr IT Analyst, Data Governance is responsible for driving enterprise-wide data governance initiatives, ensuring accuracy, completeness, and integrity of data across the data ecosystem. This role will develop 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 continuous quality improvements while championing a culture of data excellence within Constellation. Primary Duties And Accountabilities Enterprise Metadata Management Develop, 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 lineage for transparency and ease of use. Implement and maintain end-to-end data lineage tracking within the data catalog, enabling accurate impact analysis and ensuring transparency across data assets. Act as a liaison between teams, departments, conducting outreach and training to promote the adoption and usage of the data catalog, including identifying key use cases and gathering feedback for continuous 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 Develop 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 unstructured datasets. Establish a structured Data Issue Management Process to track, triage, and resolve data quality issues efficiently. Configure data quality rules and validation workflows in Microsoft Purview to automate data profiling, lineage 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. Lead 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. Oversee the implementation and adoption of data governance platforms on Microsoft 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. Advocate 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 related discipline with typically 5 to 8 years of experience in data management, data governance, or a related 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 Microsoft Purview, Collibra, Informatica Data Quality, Alation, or Talend. Strong analytical and problem-solving skills with the ability to detect, diagnose, and resolve complex data issues. Experience collaborating with cross-functional teams, including IT, business, compliance, and security teams, to implement data quality solutions. Excellent leadership, communication, and stakeholder management skills to influence decision-making. Preferred Qualifications Hands-on experience with Microsoft Purview for metadata management, data lineage tracking, and governance automation. Admin experience in configuring automated data classification, governance workflows, and role-based access controls (RBAC) in Purview, Informatica (Axiom, EDC, 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).