Toyota Motor Corporation
Senior Manager, Data Quality & Issue Management
Plano, Texas · Senior
No sponsorshipDetected 9 days ago
SQLSnowflakeDatabricksRESTKafkaMachine LearningData EngineeringAgentic AIComplianceJiraConfluenceLeadershipCommunicationCollaborationUnderwriting
About the role
- These are just a few words that describe what life is like at Toyota.
- We're looking for talented team members who want to Dream.
- An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America.
Responsibilities
- Lead and develop two high‑performing teams, a combined group of 20 data‑quality analysts, engineers, stewards, and business partners, while fostering a culture of accountability, continuous improvement, and innovation.
- Drive the enterprise Data Quality Issue Management program with strong executive presence, ensuring clear, concise, and influential communication with senior leadership.
- Design and operationalize automated data‑quality rules, monitoring, and scorecards using tools such as Informatica CDGC/CDQ and Collibra ensuring consistent measurement of data accuracy, completeness, timeliness, and validity.
- Collaborate closely with data engineering teams to embed quality checks into pipelines, optimize data flows, and ensure scalable, resilient data‑engineering solutions that support underwriting, funding, servicing, and collections.
- Partner with business units (Originations, Servicing, Collections, Risk, Compliance, Finance) to understand data needs, resolve issues, and ensure alignment with enterprise data objectives and regulatory requirements.
- Build, mentor, and develop a high‑performing team of data‑quality analysts, engineers, and stewards, fostering a culture of accountability, continuous improvement, and innovation.
- Ensure data‑quality and issue‑management processes support regulatory compliance (e.g., fair lending, credit reporting accuracy, privacy, model governance) and withstand audit and examination scrutiny.
- Partners with data product owners to embed quality standards into data products, ensuring reliability, usability, and trustworthiness across analytics, reporting, and AI/ML use cases.
Requirements
- 12+ years leading enterprise data‑quality programs, including strategy, controls, monitoring, and remediation across complex financial‑services environments
- Proven experience managing the full issue lifecycle (identification, triage, RCA, remediation, closure) with strong familiarity with regulatory expectations in lending and credit reporting
- Exposure to or hands‑on experience applying Agentic AI or MCP‑based automation to enhance data‑quality detection, anomaly identification, and issue‑remediation workflows
- Experience supporting regulatory requirements such as credit reporting accuracy, fair lending, model governance, data privacy, and audit readiness
- Experience embedding quality standards into data products, ensuring reliability for analytics, reporting, and AI/ML use cases
- Hands-on experience with data governance tools such as Collibra and Informatica CDGC/CDQ
- Proficiency in working with modern data engineering platforms, including Snowflake, Apache Iceberg, and Databricks
- Strong understanding of data modeling concepts and best practices
- Advanced expertise in writing, optimizing, and interpreting complex SQL queries
- Knowledge of Agentic architecture and Model Context Protocols (MCPs) to enable proactive data quality monitoring and data observability
- 10 - 12+ years leading enterprise data‑quality programs, including strategy, controls, monitoring, and remediation across complex financial‑services environments
- Hands‑on experience supporting data needs across originations, customer servicing, collections, funding, remarketing, credit risk, and compliance within a captive or consumer‑lending organization
- Experience partnering with data engineering teams to embed quality checks into pipelines, optimize data flows, and implement scalable data‑quality solutions
- Practical experience implementing and operationalizing data cataloging, lineage, and data‑quality rules using Informatica CDGC and CDQ
- Strong background in metadata management, stewardship workflows, and governance operating models using Collibra
- Experience using Jira and Confluence to manage issue workflows, documentation, governance processes, and cross‑functional collaboration
- Deep understanding of governance frameworks, data ownership models, stewardship, and enterprise data‑management practices
- Demonstrated success leading and developing high‑performing data teams, fostering accountability, continuous improvement, and cross‑functional alignment
- Experience defining and tracking data‑quality KPIs, dashboards, and scorecards to measure performance and drive improvement
- Added bonus if you have
Compensation
- Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
Company info
- Collaborative.
- A place to dream and do.
- As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve.
- Grow. with us.
- While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible.
- At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment.
- Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future.
- You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, TN, (job flexibility benefits) (also known as I-140 or Adjustment of Status portability), etc.) now or in the future.
- You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.
- Who we're looking for
- Toyota Financial Services (TFS) Technology is seeking a highly motivated and strategic leader to serve as the Senior Manager, Data Quality & Issue Management.
- In this role, you will operate as a technology lead with deep expertise in Data Quality, Issue Management, and strong technical proficiency in data engineering.
- You will shape and drive the strategy, vision, and roadmap that elevate TFS's enterprise data landscape and ensure the delivery of trusted, high‑value data across the organization.
- As the Senior Manager, Data Quality & Issue Management, you will define and execute the enterprise data quality vision and roadmap, embedding robust quality controls, maturing issue‑management processes, and advancing data transparency, usability, and governance.
- Through your technical leadership, you will guide teams in implementing scalable data‑quality solutions, enhancing data pipelines, and aligning quality standards with TFS's enterprise data objectives.
- You will lead and develop a high‑performing team, fostering a culture grounded in accountability, continuous improvement, and cross‑functional collaboration.
- Your leadership will ensure that TFS's data ecosystem is reliable, well‑governed, and fully equipped to support critical business decisions, meet regulatory expectations, and drive long‑term data product quality transformation across the enterprise.
Visa & Work Authorization
- Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future.
Apply directly at Toyota Motor Corporation →Create a free account for alerts like thisView Toyota Motor Corporation immigration profile
This listing is sourced directly from Toyota Motor Corporation's careers page and normalized into a canonical job model.