Senior Director of Software Engineering - Data and AI

Fairygodboss; Palo Alto (CA); On-site; USD 250,000 - 380,000; Full time

Job summary

JPMorganChase is seeking a Senior Director of Software Engineering to lead Data and AI platforms within the Commercial and Investment Bank Operations group. You will oversee multiple departments, set technical strategy, and drive enterprise-wide AI-enabled engineering initiatives across the SDLC.

You will steer cross-functional teams, manage stakeholders at the executive level, and shape governance, security, and resiliency standards while delivering high-impact trading and financial systems.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 15+ years of experience in software engineering, with at least 5 years building and managing large scale, critical and complex distributed data management systems.
• Formal training or certification on software engineering 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.
• Experience developing or leading large or cross-functional teams of Data and AI technologists.
• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale.
• Experience leading multi-organization adoption of agentic AI-enabled engineering operating models, including governance and secure handling of inputs/outputs.

Responsibilities

• Sets the direction for Data and AI technology platforms.
• Directly manages multiple areas with strategic focus on Transactional and Analytics Data and AI systems
• Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation to drive firmwide objectives, including release governance and automation.
• Applies knowledge of SDLC tools to drive cross-domain reuse and measurable outcomes.
• Enable existing or new data applications and related data models to be ready for consumption by AI Agents
• Provides leadership and high-level direction to teams across platforms, divisions, and lines of business
• Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across objectives
• Manages multiple stakeholders, complex projects, and large cross-product collaborations
• Influences peer leaders and senior stakeholders across the business, product, and technology teams

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Job description

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together.

As a Senior Director of Software Engineering at JPMorganChase within the Commercial and Investment Bank Operations team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across Data and AI domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.

Job Responsibilities

• Sets the direction for Data and AI technology platforms.
• Directly manages multiple areas with strategic focus on Transactional and Analytics Data and AI systems
• Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments.
• Enable existing or new data applications and related data models to be ready for consumption by AI Agents
• Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
• Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
• Manages multiple stakeholders, complex projects, and large cross-product collaborations
• Influences peer leaders and senior stakeholders across the business, product, and technology teams

Required qualifications, capabilities, and skills

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 15+ years of experience in software engineering, with at least 5 years building and managing large scale, critical and complex distributed data management systems.
• Formal training or certification on software engineering 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
• Experience developing or leading large or cross-functional teams of Data and AI technologists
• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
• Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
• Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.
• Proven track record of delivering complex trading or financial systems in a global banking environment
• Experience leading projects supporting complex data system design, data quality testing, and operational stability
• Ability to influence and drive change across technology and business teams
• Experience with hiring, developing, and recognizing talent

Preferred qualifications, capabilities, and skills

• Strong data engineering foundations including experience developing and managing complex data models, extensible ETL/ELT patterns and multi-modal Search techniques
• Proficiency with the modern data stack: SQL plus at least one general-purpose language (commonly Python/Java/Scala)
• Distributed systems & cloud literacy: understanding of performance, partitioning, storage formats, compute engines, and cloud services.
• Data quality & observability mindset: automated tests, monitoring/alerting, SLAs/SLOs, lineage, and incident response basics.
• Proven track record of delivering complex trading or financial systems in a global banking environment
• Experience with hiring, developing, and recognizing talent

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase's review of criminal conviction history, including pretrial diversions or program entries.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.