Sr Manager of Software Engineering

• Provide direction, oversight, and coaching to teams of entry- to mid-level software engineers delivering solutions for internal funding, NII, and related accounting/finance use cases.

• Manage accountability for decisions impacting team resources, budget, tactical operations, and the execution of processes and procedures across multiple pipelines and services.

• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.

• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.

• Ensure successful collaboration across Finance, Risk, Treasury, SRE, and Data Platform stakeholders to deliver secure, scalable, and well-controlled solutions.

• Identify and mitigate issues to execute the book of work; escalate risks proactively and drive remediation plans.

• Manage platform strategy and modernization (cloud-first, data-first), including AI enablement for efficiency, anomaly detection, and automation of controls.

• Champion engineering best practices for big data processing (Databricks, Spark), microservices (Java/Python), API design, CI/CD, observability, and resiliency.

• Manage logical explanations and finance-grade controls (data lineage, reconciliations, validations) that meet accounting and reporting standards.

• Create a culture of diversity, opportunity, inclusion, and respect, with emphasis on mentorship, talent development, and thought leadership.

• Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise

• Experience leading multiple teams; ability to guide and coach on achieving goals aligned to strategic initiatives and regulatory timelines.

• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.

• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.

• Proven track record hiring, developing, and recognizing engineering talent; strong mentorship and people leadership.

• Deep understanding of finance and accounting concepts related to internal funding and NII (e.g., accruals, FTP/base rate curves, interest calculation logic, ledger alignment).

• Practical cloud-native experience, in AWS (compute, storage, networking, security).

• Proficiency with Databricks/Spark for large-scale data processing; strong coding skills in Python and Java; familiarity with data pipelines and controls.

• Experience in Computer Science, Engineering, Mathematics, or a related field, with expertise across core technology disciplines (APIs, data, platform engineering).

Preferred qualifications, capabilities, and skills

• Experience producing high-quality code and design at a senior level; ability to set standards, review designs, and drive technical direction.

• Background in AI/ML enablement for operational efficiency, quality controls, and anomaly detection in finance data.

• Familiarity with finance technology operating models, controls, and audit/regulatory expectations; experience coordinating with Finance and Risk stakeholders.

• Demonstrated success driving platform modernization (cloud migration, data platform evolution) while managing day-to-day inefficiencies and scaling engineering practices.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.