Enterprise Data Governance Analyst (Data Lineage Analysis)

Overview

Support the Enterprise Data Governance (EDG) Office in the development of information lifecycle management requirements, guidelines, and best practices for effectively managing enterprise data across the end-to-end data lifecycle. An Enterprise Data Governance Analyst is responsible for the documentation of data lineage by providing insights into data movement and ensuring compliance with data management policies. Analyze and document data flows withing an organization from source to destination, identifying transformations, and dependencies. This role involves tracking data from its origin to its destination, ensuring accuracy, consistency, and compliance with industry standards. Work under minimal supervision and use complete understanding of business needs and objectives to support projects that have impact on the achievement of organizational goals. Advanced skill set and proficiency with procedures and analysis techniques are required.

Responsibilities

• Develop guidelines and best practices in collaboration with EDG office workstreams for effectively managing enterprise data across the end-to-end data lifecycle.
• Analyze, document and maintain data flow information across systems.
• Collaborate with business data stewards, technical data stewards, data architects, data engineers, and data analysts to gather and prioritize data requirements.
• Monitor and ensure accuracy and consistency in metadata across data integration processes.
• Identify and mitigate risks related to data integrity and quality issues.
• Conduct regular audits and validations for data lineage accuracy.
• Troubleshoot and resolve issues related to data lineage inconsistencies and metadata discrepancies.
• Evaluate data lineage tools and recommend enhancements or new systems.
• Support ongoing improvements in data lineage methodologies and processes.
• Keep abreast of industry best practices and updates in data lineage and metadata management.
• Prepare reports and visual representations to effectively communicate data lineage information to stakeholders.
• Perform other duties as assigned.

Qualifications

• Experience in data analysis, data engineering, enterprise data lake design, data warehousing, master/reference data management, data protection, and access controls at enterprise level, ideally in financial services.
• Self-motivated, proactive, quick learner with ability to apply new concepts.
• Ability to solve complex system/integration problems innovatively.
• Knowledge of building data integration processes on platforms like ServiceNow, Pega, SharePoint Online, Power Bi, Salesforce.
• Proficiency in Python, R, Scala, SQL for data querying and transformation.
• Familiarity with cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure ML, Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
• Experience in data profiling, quality strategies, rules execution, metadata, issue management, and monitoring.
• Clear and concise communication skills to articulate project goals, progress, and challenges to stakeholders.

Desired Qualifications

• Understanding of legislative and regulatory compliance guidelines, preferably in financial institutions.
• Familiarity with data governance industry best practices.
• Strong troubleshooting skills and ability to identify root causes of issues and provide solutions.
• Good problem solving, collaboration, critical thinking, team building, and presentation skills.
• Good verbal, interpersonal and written communication skills.
• Advanced organizational, planning and time management skills.
• Bachelor's degree in Computer Science, Information Technology, or related field, or the equivalent combination of education, training, and experience.

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526 | 141 Security Drive, Winchester, VA 22602

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