Director of Software Engineering
JPMorgan Chase Bank, N.A.
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.
- 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
- 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
- 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
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans
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