Data Owner, Sr. Associate - Business Banking

Job responsibilities

• Create plans for the development and delivery of product data to support strategic business objectives, operations, analytics, and reporting
• Identify and document the scope of critical data, ensuring clarity, purpose, and proper classification with metadata
• Support analytics initiatives by identifying data required for integration into analytics platforms
• Document and coordinate requirements for data accuracy, completeness, and timeliness
• Develop processes to identify, monitor, and mitigate data risks, including protection, retention, storage, and use
• Build strong relationships with data delivery partners and consumers across Business, Technology, Analytics, Operations, and Risk
• Track and manage workstreams and KPIs to ensure successful delivery of data initiatives
• Design and develop data models to support business processes and analytics requirements
• Create and optimize database structures for efficient data storage and retrieval
• Analyze data requirements and translate them into technical specifications for data models
• Maintain comprehensive documentation of data models, structures, and processes

Required qualifications, capabilities, and skills

• Bachelor's degree required, with 3+ years of industry experience in a data-related field
• Technical expertise in data management, data engineering, data pipelines, data modeling, data architecture, and governance
• Proficiency in data modeling tools and techniques
• Experience with cloud platforms such as AWS, Google, or Azure, and/or big data technologies like Hadoop, Spark, Alteryx, or Snowflake
• Strong understanding of data quality, privacy, and security standards, and experience with data governance frameworks and tools
• Proven ability to manage delivery across multiple workstreams with varying timelines
• Subject matter expertise in business or product data or processes
• Familiarity with database management systems (e.g., SQL, NoSQL)
• Understanding of Agile technological development methodology
• Knowledge of industry best practices for data management and modeling

Preferred qualifications, capabilities, and skills

• Recognized thought leader within a related field
• Hightly proficient in data querying with languages as Python, R, Perl, SQL
• Good knowledge of the product development life cycle, technical design and data analytics
• Familiarity with different data environments such as AWS S3, Snowflake and Data Bricks

About the team

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.