Director of Software Engineering

If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you.

As a Director of Software Engineering at JPMorganChase within Consumer & Community Banking, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

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.

Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives at scale.

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, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on data management concepts and 10+ years applied experience. In addition, 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