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As a Senior Director of Software Engineering at JPMorganChase within the Chief Data and Analytics Organization, you lead multiple technical areas, manage the activities of multiple teams, and collaborate across technical domains. Your expertise is applied cross-functionally to evolve firm wide Data Mesh, AI/ML and GenAI, and Data Governance platform. You will play a pivotal role in driving and delivering the strategic objectives, and will collaborate with many cross-functional teams to deliver scalable, high-performance, and user-centric platform. Your expertise will guide the development of key platform components and frameworks that align with the strategic goals of the organization.
Job responsibilities
- Define and own the delivery strategy and roadmap for large-scale, cross-team engineering programmes from planning and resourcing through risk mDefine and own the delivery strategy and roadmap for large-scale, cross-team engineering programmes from planning and resourcing through risk management, dependency tracking, and stakeholder communication serving as the primary interface between Engineering, Product, and Executive leadership on programme status, trade-offs, and escalations
- Partner with Principal Engineers and Architecture leads to translate technical vision into actionable delivery plans with clear milestones
- Lead delivery through periods of organisational or technical change, including platform migrations, team restructures, and process transitions, maintaining momentum and morale
- Accountable for quality and production stability, encompassing test automation strategy, performance benchmarking, release readiness, incident management, and SLA adherence
- Establish and refine delivery frameworks, governance models, and reporting cadences appropriate for the scale and complexity of each programme
- Identify systemic delivery risks early, including technical debt, resource gaps, and cross-team dependencies. Drive resolution before they escalate into blockers
- Drive continuous improvement in engineering delivery practices, including retrospectives, delivery metrics, cycle-time analysis, and process optimisation
- Mentor and develop technical managers and delivery leads, building a strong leadership pipeline within the engineering organisation
- Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorised 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 modernisation, 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-authorised AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments
Required qualifications, capabilities, and skills
- 10+ years of leadership in end-to-end technical project/programme delivery, with a total of around 20 years experience and 5+ years at Director level
- Proven track record delivering complex, multi-team programmes on time and at scale
- Comfortable navigating conversations across the full stack, including API design (REST, gRPC, GraphQL), AWS cloud infrastructure (EKS, networking, serverless, IAM), CI/CD pipelines, container orchestration (Kubernetes, Docker), event streaming (Kafka, Kinesis), CDN strategies, front-end ecosystem, observability tooling (Datadog, CloudWatch, SLOs/SLIs), databases at scale (PostgreSQL, Neo4j), security and compliance, and QA automation strategies
- Able to read and critically assess architecture diagrams and documentation, both front-end and back-end, challenge assumptions, and ask incisive questions in design reviews with technical fluency to evaluate architectural trade-offs: consistency models, service boundaries, cost vs resilience, build vs buy, and to hold engineering teams accountable for sound decisions without needing to dictate the solution
- Fluent in modern delivery methodologies (Agile, Scrum, Kanban) with the pragmatism to adapt frameworks to context rather than enforce rigid process
- Exceptional communication skills: able to distil engineering complexity into clear, concise narratives for non-technical stakeholders at all levels
- Effective at building consensus and driving outcomes across organisations with competing priorities
- Track record of building and developing high-performing delivery teams
- Skilled at influencing without authority, earning trust from engineers, product owners, and executives alike
- Experience leading multi-organisation adoption of agentic AI-enabled engineering operating models (using enterprise-authorised 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
Skills Required
- 10+ years of leadership in end-to-end technical project or program delivery
- Approximately 20 years of total professional experience
- 5+ years of experience at the Director level
- Proven track record delivering complex, multi-team programs on time and at scale
- Technical fluency across REST, gRPC, GraphQL, AWS infrastructure, CI/CD, Kubernetes, Docker, Kafka, Kinesis, CDN, observability, databases, security, compliance, and QA automation
- Ability to assess architecture diagrams and documentation and evaluate architectural trade-offs
- Fluency in Agile, Scrum, and Kanban methodologies
- Exceptional communication skills with technical and non-technical stakeholders
- Experience building consensus across organizations with competing priorities
- Track record of building and developing high-performing delivery teams
- Ability to influence without authority and build trust across engineering, product, and executive teams
- Experience leading multi-organization adoption of agentic AI-enabled engineering operating models
- Experience defining AI governance, human-in-the-loop decisioning, quality gates, and measurement frameworks
- Deep understanding of responsible AI risk, controls, resiliency, and security expectations at scale
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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