Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
Articulate our transformation strategy, progress, and impact in a way that resonates with and is aligned with DPRE and CCB objectives
Proven ability in leading through change, managing dependencies, and controlling change in high-pressure, shifting environments
Ability to analyze information, connect the dots and articulate clear strategy, outcomes and key messages
Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
Oversee complex technology project and program execution, managing resources, budgets, and timelines while mitigating risks and addressing roadblocks
Influences peer leaders and senior stakeholders across the business, product, and technology teams
Lead the execution of our firm-wide migration to strategic platforms and data
Accountable for the delivery and growth of enterprise-grade data platforms with a focus on scalability, availability, capabilities, and performance
Collaborate with peer teams such as Testing Systems, Data Science, and Technical Governance to deliver solutions for key personas, including analysts, data scientists, data engineers, software engineers, AI/ML engineers, operators, and compliance officers
Elevate the engineering standards within our organization through best practices, coaching, and talent development
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization
Experience developing or leading large or cross-functional teams of technologists
Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
Experience leading complex projects supporting system design, testing, and operational stability
Experience with hiring, developing, and recognizing talent
Extensive practical cloud native experience
Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
Expertise in systems and software design for large-scale distributed data solutions
Experience with large scale data platforms
Preferred qualifications, capabilities, and skills
Experience working at code level
Familiarity with data processing and development frameworks like Flink, Spark, and DBT
Knowledge of open table formats such as Iceberg and Delta, and their catalog solutions (e.g., Polaris, Unity)
Proficiency in software development technologies (Java/JS/Python/REST) and methodologies (Agile/Scrum)
Experience in AI/ML and feature engineering is a plus
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.