Lead, Data Quality & Governance (Remote or Melbourne, FL)

L3Harris Technologies - Melbourne, FL

Full-time

Melbourne, FL

Computer and Electronic Product Manufacturing

About the position

The Lead, Data Quality & Governance Specialist at L3Harris is responsible for managing the complexity of the company's data assets, ensuring data integrity, quality, and compliance with governance standards. This role supports enterprise-wide data initiatives and establishes a scalable data management framework that promotes the use of data as a strategic asset. The specialist will define key data and quality objectives, develop a comprehensive data quality strategy, and implement processes to validate and ensure the accuracy of data.

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 and minimum 9 years of prior relevant experience, or Graduate Degree with a minimum of 7 years of prior related experience, or in lieu of a degree, minimum of 13 years of prior related experience.
• 3 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 for problem-solving and driving 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.