Director of Software Engineering - Data Management Regulatory Reporting

JPMorgan Chase - Tampa, FL

Full-time - Senior

Tampa, FL

Credit Intermediation and Related Activities

About the position

The Director of Software Engineering - Data Management Regulatory Reporting at JPMorgan Chase is a leadership role within the Payments Technology team. This position involves overseeing a portfolio of data engineering teams and services globally, focusing on solving complex data problems and driving innovation in data infrastructure and modeling. The director will be responsible for leading multiple teams, making strategic decisions, and ensuring the successful delivery of technical solutions that align with regulatory requirements.

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.