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.
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
Drive end\-to\-end programme execution from planning and resourcing through risk management, dependency tracking, and stakeholder communication
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
Serve as the primary interface between Engineering, Product, and Executive leadership on programme status, trade\-offs, and escalations
Drive continuous improvement in engineering delivery practices, including retrospectives, delivery metrics, cycle\-time analysis, and process optimisation
Harness AI and approved coding\-assist tools as core enablers of day\-to\-day work, delivering measurable gains in code quality, velocity, and team productivity.
*Required qualifications, capabilities, and skills**
15\+ years of experience in end\-to\-end technical project/programme delivery, with 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
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