JOB OVERVIEW

Under the guidance of the Senior Data Governance Manager, drives enterprise data integrity, enabling high-quality, reliable data across the organization. Establishes enterprise-wide data quality standards, monitors and improves the health of critical data assets, and ensures that data quality practices enable strategic decision-making. Defines, implements, and optimizes data quality strategies, and partners with internal data stewards to monitor critical data assets. Drives remediation of complex data quality issues and advises leadership on risks and impacts to ensure a culture of data excellence across all business domains.

REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES:

• Knowledge of scripting and analytical tools to establish and maintain data quality rules, including Informatica Data Quality. Snowflake, Informatica Data Quality, and Tableau is preferred, but similar tools considered.
• Knowledge of enterprise or cross-functional data quality programs, including oversight of Critical Data Elements across multiple business domains.
• Knowledge of data quality management, including issue tracking and reporting.
• Skill in data quality management, including issue identification, triage, root cause analysis, remediation planning, and KPI reporting.
• Skill in interpersonal communication and collaboration.
• Skill in analytics and knowledge of data quality issues and processes.
• Skill in written and verbal communication, including the ability to convey data quality concepts to non-technical stakeholders.
• Ability to influence executive stakeholders and embed data quality best practices into enterprise processes.
• Ability to work independently and as part of a team to drive data quality initiatives.

SPECIAL REQUIREMENTS:

• Must obtain a Security Identification Display Area (SIDA) Airport Identification/Access Badge (badge) in accordance with Department of Homeland Security Transportation Security Administration (TSA) requirements in Chapter 49 of the Code of Federal Regulations Part 1500 et al., and DFW Airport’s Airport Security Program within thirty (30) days from date of employment and maintain qualification for a SIDA badge upon each badge renewal.

ABOUT US

We are Dallas Fort Worth International (DFW) Airport-one of the most successful airports in the world by any definition. We are recognized for our innovation, leadership, drive for excellence and talented employees.
Our success is made possible because of the diverse talents of over 2,100 employees who champion our mission of providing an exceptional airport experience to our customers and connect our community to the world. We are looking for the best talent to join us and help reimagine what an airport can be.
Bring your talents to DFW. Live and work with purpose

• Leads the design, implementation, and continuous improvement of enterprise data quality frameworks, standards, controls, and metrics for monitoring Critical Data Elements.
• Develops and maintains data quality dashboards to identify and address data quality gaps and issues.
• Supports the management of the end-to-end data quality issue lifecycle, including triage, root cause analysis, remediation planning, and executive-level status reporting.
• Designs and governs data quality rules within Informatica Data Quality and other tools, ensuring alignment with enterprise data governance objectives.
• Conducts and facilitates root cause analyses on cross-domain data quality issues, recommending enterprise-level remediation strategies.
• Drives remediation initiatives in collaboration with business units, technology teams, and data stewards to ensure timely and sustainable resolutions.
• Advises and partners with data stewards and governance counsels to enforce enterprise data quality standards and regulatory compliance.
• Participates in data quality working groups, contributing to designing standards, success metrics, agendas, tracking of remediation plans, and delivery of outcomes.
• Maintains and updates enterprise data policies, procedures and playbooks, embedding best practices into operational processes.
• Defines and monitors key performance indicators (KPIs) and metrics to assess adherence to data quality standards and progress toward enterprise data goals.
• Performs other related duties as assigned.