Director of Software Engineering - Data Management Regulatory Reporting

JPMorgan Chase - Tampa, FL

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