Join us to lead data strategies that drive innovation and competitive advantage.
As a Data Owner within the Credit Card Business, you will play a pivotal role in executing data strategies that drive business operations and strategic objectives. You will collaborate with cross-functional teams to ensure data quality, protection, integration, and utilization across the organization, fostering a data-driven culture that supports organizational growth.
Job responsibilities
- Execute a strategy for the development and delivery of product data to support strategic business objectives, business operations, advanced analytics, and metrics and reporting.
- Drive a strong understanding of the data and its use within the Credit Card business and across lines of business and functions, through collaborative partnerships with multiple stakeholders.
- Identify and prioritize the scope of critical data within their product, ensuring that the prioritized data is well-documented and classified accordingly with metadata.
- Partner with the aligned Data & Analytics lead for their product to drive advanced analytics, machine learning, and AI initiatives.
- Establish expectations for the required accuracy, completeness, and timeliness of data within the product.
- Prioritize resources to resolve identified data issues in a timely and consistent manner.
- Direct the development of processes and procedures to identify, monitor, and mitigate data risks for data in the product.
Required qualifications, capabilities, and skills
- Formal training or certification on data management concepts and 3+ years applied experience.
- Hands-on practical experience in data strategy execution and governance.
- Proficient in data quality management and risk mitigation.
- Experience in collaborating with cross-functional teams to drive data initiatives.
- Solid understanding of data protection, retention, and destruction processes.
- Demonstrated knowledge of data integration and utilization within a business context.
Preferred qualifications, capabilities, and skills
- Familiarity with modern data analytics technologies.
- Exposure to machine learning and AI initiatives.
- Experience in developing and maintaining relationships with data delivery partners.
- Understanding of governance and KPI tracking in data management.