JPMorgan Chase - Tampa, FL
posted about 2 months 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
