*Every career journey is personal. That's why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here.* *Job Summary* The Data Governance organization is focused on ensuring data is managed properly, according to established policies and procedures, while delivering high quality data. The driver of this team is to ensure the organization gets value out of data, focuses on how decisions are made about data, and understands how the enterprise interacts with data. The Director leads the enterprise efforts in data quality and is responsible for alignment to the enterprise data governance policy and building out the Data Quality function within Bread Financial. This includes building out the strategy for Data Quality and enabling it as a capability with business, information technology and chief digital and artificial intelligence office organizations. The Director is forward-thinking and partners with key resources to ensure the organization is proactive in response to internal/external changes. This leader is accountable for maturity of the Data Quality capability, ensuring that it is adopted within the business as per our federated operating model, and is effectively managing Data Quality (DQ) risks within our key processes. *Job Description* Essential Job Functions: Enterprise Data Quality Strategy - Define the vision, scope, strategy, and engagement model for data quality function. Establish and govern an enterprise data quality roadmap including strategic priorities for development of information-based capabilities. Align organization to an enterprise-wide data quality standard, with a focus on reduction of risk within our business processes because of quality issues. Work with the Data Owners, Data Stewards, Business Process Owners, Model Owners, and Data Custodians to create DQ plans and institute best practices for their respective domains. Build Federated Data Quality Operating Model - Define roles and responsibilities related to data quality and ensure clear accountability for stewardship of the company's principal information assets. Be a thought leader while serving as a liaison between Business and Functional areas and technology. Ensure that a federated data quality model is effectively established where the Data Owners are accountable for the data within their domains. The model incorporates the role of Data Custodian for resolving quality issues within their applications and platforms. Identification of what needs to be measured is included while establishing authentic sources of data, data quality controls implementation, monitoring and reporting, reviews of data quality scorecards and development of remediation plans. Define the role of Data Governance in managing and determining the resolution of Data Quality Issues. Establish the development and implementation of data quality standards, and quality metrics, provide progress reports to risk management on the impact of quality issues on core business. Data Quality Frameworks and Competencies - Build the data quality framework within Bread Financial based on industry best practices and leverage past experiences from other financial services firms, industry forums and industry capability models such as Data Management Capability Assessment Model (DCAM) and Data Management Association (DAMA). Utilize knowledge of advanced data quality management, in particular statistical techniques, and AI/ML based solutions to detect anomalies for proactive DQ monitoring. Metadata Management Framework and Competencies - Build the metadata management strategy and roadmap for Bread Financial. This includes compliance with the Metadata standard, working with the Data Owners on busine