Why GM Financial?
GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.
At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Our Purpose : We pioneer the innovations that move and connect people to what matters.
This position will be posted until filled.
About the Role
GM Financial is seeking a highly skilled Data Quality Specialist to join the Data Governance Engineering team. The senior-level specialist is responsible for advancing enterprise data governance and data quality capabilities by implementing scalable, automated, and auditable processes that ensure the accuracy, integrity, and reliability of critical data assets. The ideal candidate combines strong technical expertise with governance leadership to drive trusted, compliant, and business-ready data across the organization.
In this role you will:
Collaborate in the design and operationalization of enterprise Data Governance frameworks across Data Quality, Metadata Management, Data Lineage, Reference Data, and Critical Data Elements (CDEs), aligned to data governance principles and regulatory requirements.
Drive the transition from manual, reactive data workflows to automated, scalable, and audit‑ready data governance and data quality processes.
Perform advanced analysis of complex, ambiguous data issues; conduct root cause analysis and coordinate corrective actions across engineering, source system owners, and business stakeholders.
Identify, document, track, and report data quality, metadata, lineage, and compliance issues, including trends and remediation outcomes, to support transparency and continuous improvement.
Design, build, and maintain Business Glossaries, Data Dictionaries, governed attributes, CDE inventories, and reference/master data artifacts.
Support the configuration, deployment, remediation, and ongoing optimization of data management tooling.
Build and support data movement processes including API‑driven integrations to invoke mappings or workflows.
Collaborate closely with cross-functional teams such as platform engineering, architecture, analytics, and product owners to align data architecture, ingestion, and integration with governance requirements.
Perform administrative access and role management for the Informatica Cloud Data Quality (CDQ) repository.
Stay current with relevant emergent technologies, advancements in data governance and data management.
Comply with all security policies and procedures to ensure that the highest level of system and data confidentiality, integrity and accountability is maintained.
What makes you an ideal candidate?
Experience designing and implementing data quality rules, validations, and mapplets.
Proficiency with Python scripting and API development for data processing tasks.
Deep understanding of data warehousing and modern data architectures, including medallion architecture, data lakes, delta lake, and hybrid (cloud/on-premise) environments.
Advanced knowledge of ETL and data integration processes.
Strong analytical and problem-solving skills, with an aptitude for research and root cause analysis.
Familiarity with data lineage, metadata management, and data modeling practices.
Understanding of data access and security principles, including role-based access and data classification.
Excellent communication and documentation skills, with the ability to translate technical concepts for non-technical…