This leadership role in software engineering within the Asset and Wealth Management technology division at JPMorgan Chase involves guiding a skilled team. The Director will manage an existing platform, execute its roadmap, and strategize its transformation to support future growth in core capabilities, data storage, distribution, privacy, and optimization. The position requires leveraging leadership and engineering skills to manage the platform, transform agile processes, and drive efficiencies in the SDLC, while collaborating with global stakeholders to define future platform evolution strategies that directly impact sales and revenue.
Responsibilities
Own end-to-end delivery of the Sales Technology agenda (scope, timelines, risks, dependencies, outcomes)
Build and lead a high-performing engineering team; drive engineering excellence across SDLC, quality, reliability, security-by-design, and efficiency
Define and execute the roadmap for global sales experience, data, and intelligence
Set and own design and architecture standards; deliver scalable, resilient enterprise platforms using strong architecture and engineering practices
Strengthen partnerships with global technology teams and business stakeholders to align strategy and execution
Drive innovation and modernization, including AI-first delivery practices and technology adoption
Use AI development tools to improve productivity, testing, code quality, and release confidence
Foster strong collaboration across product, engineering, architecture, operations, and business teams with shared ownership
Build a culture of growth and learning through mentoring, coaching, feedback, and hiring to meet evolving talent needs
Set 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, while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams
Apply 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
Requirements
Formal training or certification on software engineering 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
Deep expertise (5+ years) in Salesforce Sales Cloud and Service Cloud, including platform configuration and extensibility for enterprise-scale implementations
Strong command of integration patterns and high-scale middleware design, including Salesforce REST APIs, Streaming APIs (event-driven), and Bulk APIs
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Tailored applications submitted
Proven ability to design high-scale systems (multi-region resiliency, performance engineering, data/identity patterns, API strategy)
Proven delivery excellence with measurable outcomes across concurrent workstreams
Experience leading global teams (vendor management where applicable)
Strong domain exposure to Sales & Advisor focused Technology in financial services
Ability to influence senior stakeholders and drive alignment across product, engineering, and architecture
Demonstrated passion for technology, a drive to innovate, and an ownership mindset for both delivery and engineering health
Demonstrated ability to build high-performing teams through collaboration, inclusivity, talent development, and a continuous learning culture
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
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
Nice to have:
Modern web technology frameworks: Lightning Web Components (preferred) and/or React (micro-frontend patterns a plus)
Experience with Agentic AI frameworks (preference for Agentforce) and patterns for safe enterprise adoption (governance, evaluation, monitoring)
About the Company
JPMorgan Chase is a global financial services firm.
