Senior Manager, Data Quality & Issue Management

Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. 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. We’re looking for talented team members who want to Dream. Do. Grow. with us. An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. 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. What you’ll be doing Define and execute the enterprise data‑quality strategy, roadmap, and operating model tailored to the needs of a captive auto‑finance business, ensuring trusted, accurate, and timely data across lending, servicing, collections, and risk functions. 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. Oversee the enterprise Issue Management program with strong executive presence and clear, influential communication to senior leadership. Set strategic direction, remove barriers, and elevate data‑quality standards enterprise‑wide. Drive the enterprise Data Quality Issue Management program with strong executive presence, ensuring clear, concise, and influential communication with senior leadership. Provide strategic direction, remove obstacles, and elevate data‑quality standards across the organization through disciplined execution, cross‑functional alignment, and proactive risk management. Govern the end‑to‑end issue‑management process, including detection, triage, root‑cause analysis, remediation planning, and closure, ensuring alignment with regulatory expectations and internal controls. Strengthen data governance practices by establishing standards, policies, and controls that improve data transparency, lineage, and accountability across business and technology teams. 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. Apply emerging Agentic AI and MCP‑based automation to enhance data‑quality detection, anomaly identification, issue triage, and remediation workflows, accelerating time‑to‑resolution and reducing manual effort. 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. Establish and track key data‑quality KPI’s, KRI metrics, dashboards, and scorecards to measure performance, identify trends, and drive continuous improvement. Promote data liter