If you are a leader looking for your next challenge as a Senior Manager of Architecture, we have an opportunity for you. You'll provide technical coaching and advice to some of the best in the business.
As a Senior Manager of Architecture at JPMorgan Chase within the Core Engineering Services organization, you will provide architectural governance, technical coaching, and advisory support to architecture teams within the Core Engineering Services portfolio
You will drive architecture best practices across infrastructure, platform, and cloud-native capabilities, and help teams leverage modern cloud and AI-enabled engineering approaches. Your expertise will influence target-state architecture, roadmap prioritization, and budget/technical decisions, translating complex technical detail into executive-ready updates.
Job Responsibilities
- Provide architectural governance and technical leadership across multiple architecture teams in the Core Engineering Services portfolio, ensuring solutions align to standards, target-state architecture, and modern engineering practices (cloud and AI-enabled where applicable).
- Provide overall direction, oversight, and coaching for a team of mid-level architects working on basic to moderately complex initiatives guide architectural approach, design quality, and delivery readiness.
- Own and be accountable for key decisions that influence team resources, budget, tactical operations, execution, and implementation of processes/procedures.
- Drive strong cross-functional collaboration across engineering, infrastructure, security, risk/compliance, product, and operations stakeholders ensure alignment across dependencies.
- Identify and mitigate delivery and architecture risks/issues to execute a book of work escalate proactively with clear options, tradeoffs, and recommended paths.
- Partner with leadership on budget and technical strategy, providing input on approach and technology considerations to improve operational efficiency, resiliency, and platform functionality.
- Advance cloud and platform architecture by establishing patterns/guardrails for AWS/Azure/GCP adoption, modernization, and platform capabilities.
- Promote responsible AI usage in engineering (e.g., Copilot, Claude Code or similar) by defining governance, safe usage patterns, and productivity-focused integration into the SDLC.
- Create a culture of inclusion and talent growth, including developing and recognizing talent through coaching and mentoring (influence-based leadership rather than direct management where applicable).
- Communicate architecture clearly for executives, translating technical details into concise reporting on risk, progress, cost, and outcomes.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on Architecture concepts and 5+ years applied experience
- Experience leading teams of technologists through influence (not necessarily direct resource management).
- Demonstrated ability to guide and coach teams to achieve goals aligned to strategic initiatives and target-state architecture.
- Experience developing, hiring (where applicable), and recognizing talent strong coaching and feedback skills.
- In-depth knowledge of financial services and enterprise IT systems (resiliency, security, risk, controls, regulatory expectations).
- Practical cloud-native experience designing and governing solutions on one or more of AWS, Azure, GCP (architecture patterns, migration/modernization, operational concerns).
- Strong solutions / cloud architecture capability with a background in platform and/or infrastructure architecture and governance.
- Experience using AI tools in engineering workflows (e.g., Copilot, Claude Code) with an understanding of governance considerations.
- Strong stakeholder management and the ability to produce executive-ready communication (status, risks, decisions, tradeoffs).
Preferred Qualifications, Capabilities, and Skills
- Hands-on experience working at code level and strong engineering judgment.
- Proficiency in at least one programming language (e.g., Java, Python, .NET) sufficient to review code-level patterns and guide solution implementation.
