Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Senior Manager of Software Engineering - Analytics & Reporting Lead
Columbus, OH, United States
Actively hiring, first seen by us today- Pay
- Pay not listedSimilar roles state $154K–$225K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 53.
At JPMorgan Chase, jobs usually come down by about day 14.
From 7,871 similar postings that came down, and 903 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
421 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Leadership hiring is steady
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- AWS
- Databricks
- NoSQL
- Terraform
Where the posting names them
- Experience with machine learning frameworks/APIs and designing/implementing RAG pipelines or agentic AI workflows. - Familiarity with AWS networking (VPC, subnets, routing, security groups), Terraform-based infrastructure deployments, and cost optimization strategies (autoscaling, spot vs. on-demand, auto-termination). - Experience with RDBMS, NoSQL and Vector Databases and modernizing legacy systems while managing tech debt effectively.
- Background partnering closely with Product/Design, with demonstrated ability to establish UX standards and champion customer-centric, accessible design practices across engineering teams. - Observability experience for data systems (freshness/completeness metrics, lineage, SLAs, alerting) and Databricks governance (Unity Catalog, catalogs/grants, auditing). - Familiarity with the financial services industry.
- Familiarity with AWS networking (VPC, subnets, routing, security groups), Terraform-based infrastructure deployments, and cost optimization strategies (autoscaling, spot vs. on-demand, auto-termination). - Experience with RDBMS, NoSQL and Vector Databases and modernizing legacy systems while managing tech debt effectively. - Background partnering closely with Product/Design, with demonstrated ability to establish UX standards and champion customer-centric, accessible design practices across engineering teams.
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.
As a Senior Manager of Software Engineering at JPMorganChase within Corporate Technology, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.
Job Responsibilities
As a Senior Manager of Software Engineering at JPMorganChase within Corporate Technology, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.
Job Responsibilities
- Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks.
- Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures.
- 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. 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. patterns.
- Ensures successful collaboration across teams and stakeholders.
- Identifies and mitigates issues to execute a book of work while escalating issues as necessary.
- Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team.
Required qualifications, capabilities, and skills
- 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.
- Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives.
- 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. patterns.
- 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.
- Experience with hiring, developing, and recognizing talent.
- In-depth knowledge of the services industry and their IT systems.
- Practical cloud native experience.
- Experience working at code level.
Preferred Qualifications, Capabilities, and Skills
Experience building data-driven products (analytics, insights platforms, dashboards, experimentation).
Experience with machine learning frameworks/APIs and designing/implementing RAG pipelines or agentic AI workflows.
Familiarity with AWS networking (VPC, subnets, routing, security groups), Terraform-based infrastructure deployments, and cost optimization strategies (autoscaling, spot vs. on-demand, auto-termination).
Experience with RDBMS, NoSQL and Vector Databases and modernizing legacy systems while managing tech debt effectively.
Background partnering closely with Product/Design, with demonstrated ability to establish UX standards and champion customer-centric, accessible design practices across engineering teams.
Observability experience for data systems (freshness/completeness metrics, lineage, SLAs, alerting) and Databricks governance (Unity Catalog, catalogs/grants, auditing).
Familiarity with the financial services industry.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Columbus, OH, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.