Data Governance Analyst

Live Nation Entertainment Inc; Beverly Hills (CA); Remote; USD 138,000 - 144,000; Full time

Job summary

Live Nation Worldwide, Inc. in Beverly Hills, CA seeks a Data Governance Analyst to implement and maintain governance frameworks, policies, and procedures aligned with the company Data Strategy.

You will lead activities across data domains, participate in committee meetings, and drive improvements in metadata, data quality, and AI-enabled governance using Confluence, GitLab, YAML pipelines, and Unity Catalog.

Qualifications

• Master’s degree in Computer Science or related field with 3 years of experience.
• Experience with SQL and data warehouses.
• Experience with Python Data Analysis.
• Experience with Data Catalogs (Collibra, Informatica CDGC).
• Experience with BI platforms (Power BI, Oracle BI, Tableau).
• Experience with Databricks and Unity Catalog.
• Experience with developing and implementing predictive analytics models.
• Experience with analyzing structured and time-series data to generate predictive insights.
• Experience with Version Control System Gitlab.
• Understanding of privacy laws (CCPA, GDPR).
• End-to-end data supply chain from production to consumption.
• Training teams and rolling out new programs across multiple business units.

Responsibilities

• Implement and maintain Data Governance frameworks (DAMA-DMBOK).
• Deliver governance activities across assigned data domains ensuring consistency, oversight, and compliance.
• Partner with Data Engineering, Analytics, Platform, Legal, Compliance and Security teams to enhance governance processes.
• Develop and maintain enterprise metadata repositories including data dictionaries, tags, and data lineage documentation.
• Monitor metadata quality standards across data assets and AI-enabled governance processes.

Skills

SQL

Data Warehouses

Python

Data Mining

Gitlab

Privacy laws

End-to-end data supply chain

Training teams

Education

Master’s degree in Computer Science or related field

Tools

Collibra

Informatica CDGC

Power BI

Oracle BI

Tableau

Databricks

Unity Catalog

Job description

Job Summary:

Data Governance Analyst (Live Nation Worldwide, Inc.; Beverly Hills, CA): Implement and maintain Data Governance frameworks (DAMA-DMBOK), policies, and procedures aligned with company Data Strategy. Deliver governance activities across assigned data domains ensuring consistency, oversight, and compliance. Participate in committee meetings, conduct impact assessments for proposed changes to data structures, policies and processes, and monitor the effectiveness of the Data Governance program to enhance the Governance maturity model. Create and maintain enterprise metadata repositories including data dictionaries, tags, and data lineage documentation. Monitor metadata quality standards ensuring accuracy and completeness across all data assets. Identify, classify, and maintain CDEs with appropriate governance controls. Develop and enforce Data Standards, naming conventions, and data quality validation rules. Partner with Data Engineering to integrate quality checks into ETL/ELT pipelines. Perform data profiling, root cause analysis, and track remediation of quality issues and modeling gaps. Use cloud and AI technologies to build multi-agent architectures that generate automated data dictionaries by analyzing Confluence, GitLab, YAML pipelines, and Unity Catalog. Evaluate and refine AI-generated metadata through SME collaboration ensuring accuracy and relevance. Develop prompt engineering strategies and optimize agent workflows for documentation quality. Monitor effectiveness of AI-assisted processes and research emerging AI/ML technologies for governance. Document AI governance processes, agent configurations, and best practices. Partner with Data Engineering, Analytics, Platform, Legal, Compliance, and Security teams to enhance governance processes and ensure regulatory compliance. Facilitate data governance working groups and domain-specific forums. Provide training, onboarding, and guidance on governance tools, standards, and processes. Develop user-friendly documentation, self-service resources, and training materials. Respond to governance inquiries within SLAs, provide consulting support, and advocate for data management best practices. Support data classification, sensitivity labeling, and access control initiatives. Document data handling procedures, retention policies, and elevate potential privacy risks. Track and report governance metrics: metadata completeness, data quality scores, standard adoption, CDE coverage. Prepare dashboards, status reports, and KPI insights to demonstrate governance value. Research governance technologies, methodologies, and industry trends through conferences and professional networks. Research data governance technologies, methodologies, and industry trends through conferences, training, and professional networks. Stay current on advancements in metadata management, data quality, data discovery, and AI-enabled governance. Identify opportunities to improve governance processes through automation and tool optimization. Evaluate new tools and platforms for potential adoption, conducting proof-of-concept assessments. Benchmark organizational practices against industry standards and maturity models. Develop and maintain governance documentation: procedures, workflows, data glossaries, business terms, knowledge base articles, FAQs, and policy documents. Prepare technical guides and maintain version control for all governance documentation. Contribute to enterprise data governance wiki and document governance decisions and architectural patterns. Telecommuting permitted pursuant to company policy.

Minimum requirements:

Master’s degree or foreign equivalent in Computer Science or related quantitative field, plus 3 year(s) of experience as a Data Analyst, Data Quality Manager, or related occupation.

Must have experience with the following:

• SQL and navigate data warehouses;
• Python Data Analysis
• Data Catalog (Collibra, Informatica CDGC)
• Data mining;
• BI platforms (Microsoft Power BI, Oracle BI, and Tableau);
• Databricks, Unity Catalog;
• Experience with developing and implementing predictive analytics models, including logistic regression, to analyze and interpret complex datasets;
• Analyzing structured and time-series data to identify patterns and generate predictive insights;
• Version Control System (Gitlab)
• Privacy laws (CCPA, GDPR, and Privacy Compliance implementation);
• End-to-end data supply chain from production to consumption; and
• Training teams and rolling out new programs across multiple business units.

Skills may be gained through academic coursework and concurrently while pursuing academic studies

Salary: $137,500.00 to $144,000.00 per year