Lead IT Data Governance (Plano, Reno, Chicago)

Job Summary

Harley-Davidson is seeking a skilled and motivated Lead Data Governance Analyst to join our growing team. In this pivotal role, you will not only lead the development, deployment, and ongoing management of data governance processes but also provide hands-on technical support to ensure the integrity, availability, and efficiency of enterprise data. This position is critical for maintaining trusted data across systems and enabling informed, data-driven decisions throughout the organization.

Job Responsibilities

Data Governance Oversight

• Design and implement governance frameworks, policies, and standards to ensure compliance and consistency.
• Oversee data flow across multiple systems, ensuring accuracy, security, and reliability.
• Drive initiatives that enhance data quality and enforce governance controls across the enterprise.

Metadata & Lineage Management

• Manage metadata repositories and maintain comprehensive data catalogs.
• Ensure accurate and complete data lineage tracking across systems and platforms.
• Establish processes for ongoing metadata enrichment and governance alignment.

Hands-On Technical Support

• Act as the primary technical resource for troubleshooting governance tools, integrations, and workflows.
• Configure, maintain, and optimize data governance platforms and related technologies.
• Provide direct technical assistance for cataloging, lineage mapping, and quality rule implementation.

Data Quality Oversight

• Define, monitor, and report on data quality metrics and KPIs.
• Collaborate with data stewards to resolve quality issues and implement remediation workflows.
• Develop and enforce standards for data profiling and validation processes.

Stakeholder Engagement

• Facilitate cross-functional governance councils and working groups to drive alignment.
• Educate business units on governance best practices and stewardship responsibilities.
• Communicate governance objectives and progress to stakeholders at all levels.

Data Security & Privacy Alignment

• Collaborate with security and compliance teams to ensure governance policies support data protection.
• Implement access controls and privacy safeguards aligned with regulatory requirements.
• Monitor adherence to security and privacy standards within governance processes.

Risk Mitigation

• Conduct impact assessments and audits related to data usage and classification.
• Identify and address risks associated with data governance and compliance gaps.
• Develop mitigation strategies and contingency plans for critical data assets.

Automation of Governance Tasks

• Automate metadata enrichment, quality rule execution, and policy enforcement.
• Implement scripts and workflows to streamline governance processes.
• Evaluate and integrate automation tools to improve efficiency and scalability.

Continuous Improvement

• Monitor system performance and proactively address technical challenges.
• Identify opportunities for automation and process optimization within governance workflows.
• Stay current with emerging technologies and recommend enhancements to governance capabilities.

Education Requirements

Education Specifications

High School Diploma or Equivalent Required

Bachelor’s degree in Information Management, Computer Science, Data Science, or a related field Preferred

Experience Requirements

Required

• 5+ years of experience in data governance or data management related roles
• Proven experience in hands-on technical support for data governance tools and enterprise data platforms.
• Strong proficiency in data analysis, data quality management, and governance frameworks.
• Technical expertise in configuring and troubleshooting governance solutions (e.g., Ataccama, Microsoft Purview, or similar).
• Ability to work under pressure to resolve complex technical issues quickly and effectively.
• Excellent communication and collaboration skills across business and IT teams.

Preferred

• Metadata management and business glossary development
• Data lineage mapping and impact analysis
• Data stewardship and policy enforcement
• Data Quality & Profiling
• Root cause analysis and remediation planning
• Definition and implementation of data quality rules
• Proficiency in SQL for data analysis and validation
• Knowledge of data integration and ETL tools
• Familiarity with relational and non-relational databases
• Experience with reporting tools