Director of Software Engineering

Job Responsibilities

Leads technology and process implementations to achieve functional technology objectives
Directly manages multiple areas with strategic transactional focus
Manages multiple stakeholders, complex projects, and large cross-product collaborations
Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on data management concepts and 10+ years applied experience
• 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• Proven experience in designing and developing large scale data pipelines for batch & stream processing
• Strong understanding of Data Validation / Data Quality
• Strong understanding of Data Warehousing, Data Lake, ETL processes and experience in Big Data technologies (e.g Hadoop, Snowflake, Databricks, Apache Spark, PySpark, Airflow, Apache Kafka, Java, Open File & Table Formats, GIT, CI/CD pipelines etc. )
• Expertise with public cloud platforms (e.g., AWS, Azure, GCP) and modern data processing & engineering tools
• Excellent communication, presentation, and interpersonal skills
• Experience developing or leading large or cross-functional teams of technologists
• Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse
• Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs
• Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch
• Ensure the delivery of secure, high-quality production code
• Extensive practical cloud native experience
• Experience working at code level and ability to be hands-on performing PoCs, code reviews

Preferred Qualifications, Capabilities, And Skills

• Experience in Data Modeling (ability to design Conceptual, Logical and Physical Models, ERDs and proficiency in data modeling software like ERwin)
• Experience with Data Governance, Data Privacy & Subject Rights, Data Quality & Data Security practices
• Experience in Data visualization & BI tools is a huge plus

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.