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Uat Jobs in Ohio (NOW HIRING)

The role will lead requirements gathering, business process analysis, UAT, solution validation, stakeholder coordination, and implementation quality. The ideal candidate combines strong business ...

Lead Business Analyst

Dayton, OH · On-site

$105 - $145/hr

The role will lead requirements gathering, business process analysis, UAT, solution validation, stakeholder coordination, and implementation quality. The ideal candidate combines strong business ...

Test Lead

Columbus, OH · On-site

$46 - $62.50/hr

Work as UAT Lead - Define UAT strategy and scope, coordinate business users, manage execution, lead defect triage, provide status reporting, obtain sign-offs and support production readiness.

New

Oracle EBS SCM Consultant / Architect

Mason, OH · On-site

$57.25 - $70.50/hr

Willingness to travel as required for go-live/UAT/ Hypercare support * Gather business requirements and translate them into functional specifications and solution designs * Work with the customer and ...

Requirements definition, analyst workflow design, acceptance criteria validation, UAT, adoptions, and human-in-the-loop review gate design Key Responsibilities and Skills: Expert in Agile methodology;

Willingness to travel as required for go-live/UAT/ Hypercare support Key Responsibilities * Gather business requirements and translate them into functional specifications and solution designs * Work ...

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Showing results 1-20

Uat information

See Ohio salary details

$10

$42

$63

How much do uat jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for uat in Ohio is $42.02, according to ZipRecruiter salary data. Most workers in this role earn between $32.21 and $51.20 per hour, depending on experience, location, and employer.

What is a UAT?

A UAT (User Acceptance Testing) job involves testing software applications to ensure they meet business requirements before going live. UAT testers work closely with end users to validate functionality, usability, and performance. They create test plans, execute test cases, document issues, and collaborate with developers to resolve defects. The goal is to ensure the software works as intended in a real-world environment before final deployment.

What does a typical day look like for someone working in UAT?

A typical day for someone in a UAT role involves reviewing project requirements, designing and executing test cases, logging and tracking defects, and validating that software features meet business needs. UAT specialists frequently collaborate with business analysts, developers, and stakeholders to clarify expectations and resolve issues as they arise. The role often involves participating in meetings, updating test documentation, and providing feedback to ensure the final product is user-friendly and aligns with intended processes. This mix of technical tasks and cross-team communication ensures software products are ready for launch with minimal end-user issues.

What are the key skills and qualifications needed to thrive in the UAT position, and why are they important?

To thrive in a User Acceptance Tester (UAT) role, you need a solid understanding of software development processes, strong analytical skills, and an attention to detail, often backed by experience in quality assurance or business analysis. Familiarity with test management tools like JIRA, TestRail, and a basic understanding of SQL, along with certifications such as ISTQB or similar, is highly beneficial. Excellent communication, collaboration, and problem-solving skills help UAT professionals effectively interact with developers, business analysts, and end-users. These abilities ensure that applications meet business requirements and function correctly before release, minimizing costly errors and user dissatisfaction.

What are the most commonly searched types of Uat jobs in Ohio?

The most popular types of Uat jobs in Ohio are:

What cities in Ohio are hiring for Uat jobs?

Cities in Ohio with the most Uat job openings:

Infographic showing various Uat job openings in Ohio as of August 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 68% Physical, 9% Hybrid, and 23% Remote job distribution, with an average salary of $87,409 per year, or $42 per hour.

Sr Lead Software Engineer - UAT Data Platform & Governance Lead

JPMorgan Chase & Co.

Columbus, OH • On-site

$140 - $180/hr

Other

Posted 15 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Sr Lead Software Engineer at JPMorgan Chase within Asset & Wealth Management, you will define and drive the firm-aligned strategy, operating model, and engineering execution for UAT data provisioning at scale. You will build and evolve a reusable UAT Data Platform that delivers fit-for-purpose, reliable UAT datasets across multiple Sources of Record (SORs) through standardized patterns, strong governance controls, and automated orchestration; improving environment stability and enabling repeatable testing outcomes.

Job responsibilities
  • Own the end-to-end platform and governance outcomes for UAT data refresh and provisioning.
  • Set strategy and standards for UAT data provisioning, including reference architecture, reusable patterns, and “golden path” standards that teams can consistently adopt.
  • Own the UAT Data Platform roadmap, prioritizing capabilities that increase dataset availability, reduce environment instability, and improve repeatability of test outcomes.
  • Establish governance and operational controls for UAT data, including access management, auditability, retention, and quality/validation checks, partnering with risk and control stakeholders as needed.
  • Lead end-to-end orchestration of UAT refreshes across multiple SORs, including dependency mapping, sequencing, cutover planning, runbook execution, and stakeholder communications.
  • Build/extend self-service capabilities for refresh requests, automated workflow execution, standardized validation, and clear status/traceability for users and operators.
  • Drive engineering excellence and reliability for the platform (secure coding, CI/CD, operational readiness, incident response discipline, postmortems, and continuous improvement).
  • Influence across teams and functions to adopt standardized approaches, improve cross-system coordination, and apply modern engineering practices and tooling to UAT data operations.
  • Act as the accountable technical leader for design and operational decisions impacting UAT data provisioning, platform scalability, and day-to-day stability.
Required qualifications, capabilities, and skills
  • Formal training or certification onsoftware engineeringconcepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Demonstrated experience designing and building workflow-driven automation platforms (e.g., orchestration services, internal developer platforms, or data platforms).
  • Strong programming skills in one or more languages such as Java, Python, or Go, with experience building APIs and distributed services.
  • Experience with CI/CD, automation pipelines, and operational practices (runbooks, incident response, on-call readiness, postmortems).
  • Proven ability to manage complex cross-system dependencies and execute coordinated releases/operational events across multiple stakeholders.
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Practical cloud native experience
Preferred qualifications, capabilities, and skills
  • Experience with test data management and/or UAT environment refresh processes in large-scale, regulated environments.
  • Familiarity with data protection patterns (masking/tokenization), privacy-by-design concepts, and controlled data access models.
  • Experience with event-driven systems, scheduling/orchestration frameworks, and platform reliability engineering concepts.
  • Exposure to modern cloud-native patterns (containers, infrastructure-as-code, service observability), and data ecosystem components.
  • Platform Engineering: building reusable services, self-service workflows, paved paths, and golden patterns.
  • Systems Thinking: understands data flows and failure modes across multiple SORs and downstream consumers.
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