Payment Ops – Data Architect/Engineer – Vice President

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. 

As a Data Domain Architect within the Strategy, Innovation & Governance Data team, you will be instrumental in developing the data architecture and strategy for Payments Operations. You will utilize your technical expertise to gather and prepare data from diverse platforms, work alongside data analytics personnel to enhance solutions, and collaborate closely with Technology, Product, and Corporate and Investment Banking data partners to execute use cases. This role provides the chance to propel innovation and insights throughout the organization, playing a key role in shaping the future state data architecture and roadmap.

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.
• Work 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:

• Minimum 8+ years of relevant work experience as a software developer, 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
• Ability to collaborate across teams and at varying levels using a consultative approach
• General understanding of Agile Methodology
• Cloud platform knowledge; hands on experience with Databricks or Snowflake
• Traditional Database Skills (Oracle, SQL Server).  Strong SQL overall. Experience with Python/PySpark
• Understanding of ETL framework and tools including Alteryx
• Fundamental understanding of Data Architecture. 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