Lead Data Quality and Governance Analyst

The Lead Data Quality and Governance Analyst leads data quality, governance, and data engineering initiatives to ensure enterprise data is accurate, reliable, consistent, and fit for business use. This role combines strong data governance expertise with hands‑on technical capabilities in Splunk, Apache Kafka, ETL development, JSON, and structured, semi-structured, and unstructured data, while driving data standards, controls, monitoring, and continuous improvement.

Key Responsibilities And Duties

• Lead implementation of data quality, governance, and data management standards, controls, tools, and processes.
• Monitor data quality metrics, perform data validation and audits, identify issues, and drive remediation.
• Strengthen governance and controls throughout the end-to-end data lifecycle.
• Design and support ETL/data integration processes supporting reliable and consistent data flows.
• Work with Kafka-based streaming/event data, JSON, and structured, semi-structured, and unstructured data.
• Leverage Splunk for data analysis, monitoring, troubleshooting, validation, and operational insights.
• Support master data management and enterprise data standards while identifying opportunities to improve data integrity and availability.
• Develop and enhance reports, dashboards, metrics, and trend analysis to support data-driven decisions.
• Partner across business, technology, data engineering, and governance teams to resolve data issues and implement improvements.
• Provide subject matter expertise, mentor team members, and drive adoption of new processes and methodologies.

Educational Requirements

• Bachelor's Degree Required

Work Experience

• 5+ Years Required; 7+ Years Preferred

Physical Requirements

• Physical Requirements:
  
  Sedentary Work

Career Level

8IC

Required Skills

• Bachelor's degree in a relevant field (e.g., Computer Science, Information Systems, Data Science)
• 5+ years of experience in data quality, data governance, data management, or data engineering
• 3+ years of hands‑on experience with Splunk, Apache Kafka, and ETL development
• Experience working with structured, semi‑structured (e.g., JSON), and unstructured data
• Experience defining and enforcing data quality rules, data controls, and data lifecycle management
• Experience with data quality monitoring, validation, auditing, and issue remediation
• Experience designing, documenting, and troubleshooting data integration, data flows, and transformation processes
• Experience collaborating with business and technology stakeholders to resolve data issues and communicate findings

Preferred Skills

• Experience with real-time and streaming data pipelines and event-driven data processing
• Advanced experience with high-volume data processing using Splunk, Kafka, and ETL tools
• Experience with master data management, metadata management, data lineage, and enterprise data standards
• Hands‑on experience with Collibra, including developing data quality rules, controls, and monitoring or reporting frameworks
• Experience building dashboards and reports for operational metrics and trend analysis
• Experience implementing automation or process improvements that reduce manual effort or improve efficiency
• Experience leading complex initiatives, mentoring team members, or coordinating cross‑functional teams

Related Skills

Business Acumen, Business Analysis, Business Process Understanding, Change Management, Collaboration, Communication, Continuous Improvement Mindset, Data Analysis, Data‑Driven Business Intelligence, Data Management, Data Visualization, Executive Presence, Influence, Project Management, Story Telling

Anticipated Posting End Date

Base Pay Range

$121,000/yr - $165,000/yr

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior…