Sr Director of Software Engineering

JPMorgan Chase & Co.; United States; In loco; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

JPMorgan Chase & Co. is seeking an accomplished technology leader to shape enterprise-scale delivery of AI-enabled engineering and data platforms.

You will guide multi-department initiatives, set cross-functional strategy, and partner with senior leaders to align objectives with firmwide goals. This role involves governing AI risk, building reusable SDKs, directing large cross-functional teams, and ensuring resilience, security, and operational stability.

Competenze

• 10+ years of applied software engineering experience.
• 5+ years leading technologists to solve complex items.
• Experience building high-throughput, resilient data platforms.
• Proven ability to lead cross-functional teams.

Mansioni

• Lead multiple technology implementations across departments to meet firmwide objectives.
• Directly manage multiple areas with strategic transactional focus.
• Set and scales multi-department strategy for AI-enabled engineering and SDLC automation with governance.
• Drive cross-domain reuse and measurable capacity unlock with SDKs and platforms.
• Provide leadership to teams and interface with senior leaders to align objectives.

Conoscenze

Tech leadership

Data platforms

Kafka / event streaming

Cross-functional leadership

AI governance

Cloud native

Stakeholder management

SDLC/automation

Formazione

Formal software engineering training

Strumenti

Kafka

SDKs

Descrizione del lavoro

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.

Job responsibilities

• Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
• Directly manages multiple areas with strategic transactional focus
• 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.
• 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

• 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
• Deep expertise in building and operating high-throughput, resilient data platforms with strong consistency guarantees, including API and event-streaming (Kafka) architectures
• Proven ability to create reusable frameworks, SDKs, or platform abstractions adopted across multiple teams and product lines
• 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 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.
• Experience leading complex projects supporting system design, testing, and operational stability
• Experience with hiring, developing, and recognizing talent
• Extensive practical cloud native experience

Preferred qualifications, capabilities, and skills

• Background in financial services or other highly regulated industries with understanding of data governance, privacy, and compliance requirements