Chase Card team is looking to accelerate product development, drive business growth, and improve customer experience by ensuring data quality, safety, and efficient use within their product.
Requirements
- Technical expertise in data management, data engineering, data pipelines, data modeling, data architecture, and governance, along with proficiency in data modelling tools and techniques.
- Experience with cloud platforms like AWS, Google, or Azure, and/or big data technologies such as Hadoop, Spark, Alteryx, Snowflake.
- Strong understanding of data quality, privacy, and security standards, and experience with data governance frameworks and tools.
- Familiarity with database management systems (e.g., SQL, NoSQL) and understanding of Agile technological development methodology and knowledge of industry best practices for data management and modelling.
Responsibilities
- Create plans for the development and delivery of product data to support strategic business objectives, business operations, advanced analytics, and metrics and reporting and work with key partners to drive an understanding of the data and its use within the business.
- Identify the scope of critical data within their product, ensuring that the prioritized data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control.
- Support the aligned Data & Analytics lead for their product by identifying data required to be integrated into analytics platforms to support analytics projects.
- Document requirements for the accuracy, completeness, and timeliness of data within the product, and coordinate resources to deliver data quality requirements and develop processes and procedures to identify, monitor, and mitigate data risks for data in the product, including risks related to data protection, data retention and destruction, data storage, data use, and data quality.
- Manage the execution of tasks to comply with Firmwide policies, standards, and procedures related to the integrity and protection of data in the product and develop strong relationships with product data delivery partners and data consumers, including leaders in the Business, Technology, Analytics, Operations, Risk and Control functions and understand and mitigate risks, bottlenecks, and inefficiencies in the product development lifecycle with respect to data.
- Design and develop data models that support business processes and analytics requirements and create and optimize database structures to ensure efficient data storage and retrieval and analyze data requirements and translate them into technical specifications for data models and maintain comprehensive documentation of data models, structures, and processes.
- Track and manage workstreams and associated KPIs to ensure deliveries are successful and manage direct or matrixed staff to execute specific data-related tasks.
Other
- 6+ years of industry experience in a data-related field
- Proven ability to manage delivery across multiple workstreams with varying timelines, ensuring our product and organization meet goals through effective execution via internal partnerships.
- Subject matter expertise in business or product data or processes
- Credit Card domain knowledge is a plus.
