Principal, Data Quality & Governance

L3Harris Technologies - Melbourne, FL

Full-time - Senior

Melbourne, FL

Computer and Electronic Product Manufacturing

About the position

The Principal, Data Quality & Governance role at L3Harris Technologies is focused on managing the complexity of the company's data assets to ensure data integrity, quality, and compliance with governance standards. This position is essential for supporting enterprise-wide data initiatives and establishing a scalable data management framework that treats data as a strategic asset. The role involves defining data quality objectives, developing a comprehensive data quality strategy, and implementing processes for data validation and error resolution.

Responsibilities

• Oversee the development and implementation of data quality processes and frameworks.
• Collaborate with business owners to ensure data quality sign-offs and documentation.
• Conduct regular data reconciliation and validation to ensure data integrity.
• Develop, enforce, and maintain standards and best practices for data quality tools.
• Ensure compliance with data governance policies and quality standards across the organization.
• Create and maintain governance documentation for platform usage, procedures, and data pipelines.
• Establish and implement naming conventions for data connections and pipelines.
• Monitor data governance and quality updates, communicating them to relevant stakeholders.
• Conduct regular risk assessments and manage mitigation plans related to data quality.
• Provide quality assurance for data within the data platforms, ensuring compliance with business data transformation rules.
• Maintain data dictionaries or a metadata repository to support effective data management.
• Provide periodic reports on data quality and governance to leadership, outlining the current state and any risks or areas for improvement.
• Establish training programs on tools and procedures used to maintain data quality, and train stakeholders on compliance with data standards.

Requirements

• Bachelor's Degree with 12 years prior experience in data quality & governance, or a Graduate Degree with 10 years prior experience in data quality & governance.
• In lieu of a degree, minimum of 16 years of prior related experience in data quality & governance.
• 5 years of data integration experience with enterprise data warehouses such as Snowflake or Palantir Foundry.
• 1 year experience in programming languages such as Python, R, SQL, and Git.

Nice-to-haves

• Understanding of data governance principles and Master Data Management (MDM) concepts.
• Attention to detail with excellent analytical skills to solve problems and drive continuous improvement, using methodologies like Six Sigma or LEAN.
• Expertise in data profiling and data cleansing techniques.
• Experience with business intelligence (BI) and data visualization tools such as Tableau, Palantir Foundry, Power BI, Qlik, and data catalog products.
• Working knowledge of data pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python, with experience building pipelines in PySpark or Spark SQL.
• Understanding of enterprise-level data lifecycle management, including ETL/ELT processes, data standards, data governance, and consolidation initiatives, guided by DAMA DMBOK principles.

Benefits

• Flexible work schedule with a 9/80 work arrangement, allowing every other Friday off.