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Director Portfolio Operations Jobs Near Me

Allied Universal

Director of Operations

Columbus, OH · On-site

$70K - $85K/yr

As Director of Operations, you will manage onsite Account Managers to ensure client satisfaction ... Work with branch leadership to strengthen financial performance within your assigned portfolio by ...

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Director Portfolio Operations information

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$34K

$107.7K

$179.5K

How much do director portfolio operations jobs pay per year?

As of Aug 19, 2026, the average yearly pay for director portfolio operations in the United States is $107,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $135,500.00 per year, depending on experience, location, and employer.

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Director Portfolio Operations jobs near you
A map of the United States highlighting the number of Director Portfolio Operations job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Director Portfolio Operations job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Director of Software Engineering - Secure Web Platform

JPMorgan Chase & Co.

Columbus, OH • On-site

$180 - $260/hr

Other

Re-posted 4 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description

Overview

If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you. As a Director of Software Engineering - Secure Web Platform at JPMorganChase within the Digital Channels team, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

Responsibilities
  • Leads technology and process implementations to achieve functional technology objectives
  • Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
  • Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives at scale.
  • Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
  • Delivers technical solutions that can be leveraged across multiple businesses and domains
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams
Qualifications
  • Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
  • Experience developing or leading cross-functional teams of technologists
  • Experience with hiring, developing, and recognizing talent
  • Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
  • Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
  • Practical cloud native experience
  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
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