Sr Manager of Software Engineering

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Senior Manager of Software Engineering (Vice President) at JPMorganChase within Consumer & Community Banking (CCB) – Personalization & Insights (P&I), you will lead one or more engineering teams delivering platform and product capabilities that enable personalized customer experiences. You will partner with product and business leaders to shape technology strategy and roadmap, drive predictable delivery, and ensure solutions meet core non-functional requirements (high availability, resiliency, low latency, and scale) with strong engineering excellence and controls.

Job Responsibilities

• Lead one or more engineering teams and own day-to-day execution against product priorities, driving predictable delivery and removing impediments

• Provide hands-on technical coaching, mentoring, and guidance on implementation approaches, tasks, and best practices

• Build and sustain an effective team culture (including opportunity, inclusion, and respect) and support hiring, development, and recognition of talent

• Partner with product and business leaders to define technology strategy, roadmap, and integration patterns with adjacent product areas

• Break down complex and ambiguous business problems into implementable technical designs; anticipate dependencies and drive successful cross-team delivery

• Champion engineering excellence and governance across the SDLC (automation/CI/CD, testing including automated functional testing, performance, resiliency, scalability), with accountability for controls and operational health

• Design and deliver reusable technical solutions (including performant APIs processing high-volume payloads) using microservices, domain-driven design, data modeling, and event/streaming architectures across cloud/hybrid/on-prem environments

• Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.

• Applies 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.

Required qualifications, capabilities and skills

• Formal training in software engineering concepts and 5+ years of applied experience