Payments Operation (PO) is part of the Digital & Platform Services organization in the Corporate & Investment Bank. PO supports Payments, Receivables and Trade Finance Products and acts as the payment hub for JPMorgan Chase across the firm’s business lines. PO consists of 5,500 employees across 60 sites and supports 142k corporations, financial institutions, governments, and municipalities domiciled in over 180 countries. On average, PO processes 30.1MM transactions daily across 122 currencies valued at $3.2T. 

Job Summary:

Payments Operations and the Payments industry are undergoing significant amounts of change and disruption – industry, technology, and organizational. It is critical to develop and execute on a strategy that will enhance the organization’s business and operational model and position it for continued success. 

We are seeking an experienced Data Domain Architect to join the Strategy, Innovation & Digitization Data team within the Payments Operations organization. The role will work within a team that provides data architecture leadership and strategy, and solutions data engineering use cases focused on data analytics, metrics and insights across Payments Operations.  This team is a service provider to the various Payments Operations teams and to be successful, the candidate will need to closely collaborate with a number of Operations and Technology Leaders across their respective organizations.

This role is ideal for a highly motivated individual with a strong passion for data, problem solving, and domain knowledge as well as strong interpersonal and communication skills.  

Job Responsibilities:

Understand the data landscape across the Payments organization and work to leverage all available data resources Leverage technical skills to source and prepare data from a variety of data sources including traditional databases, no-SQL, Hadoop, and Cloud.   Works closely with data analytics staff within our team to understand requirements and partner to optimize solutions and develop / foster new ideas Work with Data Domain Architect lead on all facets of Data Domain Architecture, including resource management   Work with Tech, Product and CIB data partners to research and implement use cases Evaluate the current data architecture and shape the future state data architecture and roadmap to serve on Payments Operations data needs

Required qualifications, capabilities, and skills:

6+ years of relevant work experience as a data/ML engineer, data scientist, business intelligence engineer Minimum of Bachelor’s degree in Computer Science/Financial Engineering, MIS, Mathematics, Statistics or other quantitative subject Analytical thinking and problem-solving skills coupled with ability to understand business requirements and to communicate complex information effectively to broad audiences and collaborate across teams at varying levels using a consultative approach Experience modeling data in an architecture that balances query processing with business results General understanding of Agile Methodology Cloud platform knowledge Traditional Database Skills (Oracle, SQL Server).  Strong SQL overall Understanding of ETL framework and tools including Alteryx Ability to profile, clean, and extract data from a variety of sources Analytics and insights development experience – telling stories with data using Tableau / Alteryx Exposure to data science, AI/ML and model development

Preferred qualifications, capabilities, and skills:

Prefer hands on experience with Databricks or Snowflake Experience with Python/PySpark