JPMorgan Chase - Tampa, FL

posted about 1 month ago

Full-time - Senior
Tampa, FL
10,001+ employees
Credit Intermediation and Related Activities

About the position

As a Director of Software Engineering at JPMorgan Chase, you will lead a technical area within the Payments Technology team, driving impact across teams, technologies, and projects. This role requires in-depth knowledge of software engineering, data management, and product management to oversee complex projects and initiatives. You will manage a portfolio of data engineering teams globally, focusing on delivering data infrastructure and solutions while ensuring technical excellence in the data space.

Responsibilities

  • Leads technology and process implementations to achieve functional technology objectives.
  • Makes decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures.
  • Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
  • Delivers technical solutions that can be leveraged across multiple businesses and domains.
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams.
  • Champions the firm's culture of diversity, equity, inclusion, and respect.
  • Leverages deep expertise with data management tools, modeling, architecture and implementation.
  • Coordinates the use of public cloud technologies.
  • Maintains a problem solving and outcome focused mindset.

Requirements

  • Formal training or certification on software engineering concepts and 10+ years applied experience, along with 5+ years of experience leading technologists.
  • Experience developing or leading cross-functional teams of technologists.
  • Experience with hiring, developing, and recognizing talent.
  • Experience leading a product as a Product Owner or Product Manager.
  • Practical cloud native experience.
  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.
  • Expertise with data modeling and data quality management.
  • Experience leading a global team of engineers building large scale data solutions.
  • Experience operating with agile methodology.
  • Expertise with data security and access controls and automation with pipeline and testing.
  • Experience applying AI-ML for efficiencies and data accuracy.

Nice-to-haves

  • Experience working at code level.
  • Experience working with Databricks.
  • Experience implementing data localization solutions.
  • Experience with multi data cloud Snowflake, AWS Data lake house.
  • Experience working with LLMs.
  • Experience of regulatory data management and knowledge of payments regulations.

Benefits

  • Health insurance
  • Retirement plan
  • Tuition reimbursement
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