Sr Manager of Software Engineering - Analytics & Reporting Lead
About The Position
As a Senior Manager of Software Engineering at JPMorganChase within Corporate Technology, you provide technical leadership, coaching, and advisory support to multiple technical teams. You anticipate the needs and dependencies of other functions across the firm, and use your expertise to influence budget and technical considerations that advance operational efficiency and functionality. You lead teams of entry-level to mid-level software engineers working on basic to moderately complex tasks. You are accountable for decisions affecting team resources, budgets, tactical operations, and processes. You also establish and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across teams, with measurable goals for delivery speed, quality, and operational outcomes. These practices include validation, security, resiliency, and reuse of proven patterns. The role applies knowledge of the software development lifecycle toolchain, including authorized AI-assisted development and automation capabilities, to improve efficiency and support capacity initiatives while prioritizing reuse of existing firm technology. It requires effective collaboration across teams and stakeholders, mitigation and escalation of issues, and input to leadership on budgets, approaches, and technical considerations.
Requirements
- Formal training or certification in software engineering concepts and at least 5 years of applied experience.
- At least 2 years of experience leading technologists to manage and solve complex technical items within the relevant domain.
- Ability to guide and coach teams on approaches to achieve goals aligned with strategic initiatives.
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance and ways of working, human-in-the-loop validation, quality gates, outcome measurement, and secure handling of sensitive inputs and outputs.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, resiliency and security implications, and control expectations; ability to coach managers and leads and influence leaders on safe scaling patterns.
- Experience hiring, developing, and recognizing talent.
- In-depth knowledge of the services industry and its IT systems.
- Practical cloud-native experience.
- Experience working at code level.
Nice To Haves
- Experience building data-driven products such as analytics, insights platforms, dashboards, or experimentation.
- Experience with machine learning frameworks and APIs, and designing or implementing RAG pipelines or agentic AI workflows.
- Familiarity with AWS networking (VPC, subnets, routing, and security groups), Terraform-based infrastructure deployments, and cost optimization strategies such as autoscaling, spot versus on-demand instances, and auto-termination.
- Experience with RDBMS, NoSQL, and vector databases, and modernizing legacy systems while managing technical debt.
- Experience partnering closely with Product and Design, establishing UX standards, and championing customer-centric, accessible design practices across engineering teams.
- Observability experience for data systems, including freshness and completeness metrics, lineage, SLAs, and alerting, as well as Databricks governance (Unity Catalog, catalogs and grants, and auditing).
- Familiarity with the financial services industry.
Responsibilities
- Provide overall direction, oversight, and coaching for entry-level to mid-level software engineers working on basic to moderately complex tasks.
- Make decisions that influence team resources, budgets, tactical operations, and the execution and implementation of processes and procedures.
- Set and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams.
- Establish measurable expectations for delivery speed, quality, and operational outcomes, and ensure validation, security, resiliency, and reuse of proven patterns.
- Apply knowledge of software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity initiatives.
- Prioritize reuse of existing firm technology assets.
- Ensure successful collaboration across teams and stakeholders.
- Identify and mitigate issues affecting execution of a book of work, escalating issues as necessary.
- Provide leadership with input on budgets, approaches, and technical considerations to improve team operational efficiency and functionality.
Benefits
- Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
