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Associate Project Manager

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Hybrid

Associate Project Manager

Qentelli

Associate Project Manager

Skills

SQL QueriesTesting & QAPostmanSeleniumAIJira

16 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Hybrid

Published on:

7 October 2026

What they need


Role Overview

We are looking for an experienced Associate Project Manager QA/QE to support the Senior Technical Project Manager in managing and delivering a large, cross-functional technology team

comprising QA, QE/Automation resources (Production Support, and Development resourcesalso is an added advantage).

The ideal candidate will have a strong combination of technical QA/QE expertise, automation knowledge, project/team management experience, and banking domain understanding.

This role will take ownership of day-to-day delivery tracking, team progress, QA/QE metrics, automation regression health, and operational coordination, allowing the Senior Technical Project Manager to focus on overall program management, client engagement, strategic planning, and delivery governance.

The candidate is expected to become a strong technical and delivery point of contact for the QA/QE organization and develop a good understanding of the application's end-to-end business and technical flows.

Required Skills & Experience

  • 10–15 years of overall IT experience with at least 5+ years in team/project/technical management.
  • Experience managing or coordinating QA/QE/Automation teams.
  • Good hands-on understanding of test automation and regression frameworks.
  • Experience with tools such as Selenium, API testing, SQL/DB, Postman, CI/CD, Git, Jira, Xray, or equivalent technologies.
  • Experience in improving automation coverage, stability, maintainability, and execution efficiency.
  • Ability to understand application architecture, integrations, APIs, databases, and

end-to-end business workflows.

  • Experience working with distributed/offshore teams and client stakeholders.
  • Strong communication, leadership, coordination, and escalation-management skills.
  • Experience with AI-assisted testing/automation is a strong plus.
  • BFSI/Banking/Financial Services domain experience is preferred.

Key Responsibilities

  • Support the Senior Technical Project Manager in managing a 30+ member cross[1]functional team across QA, QE/Automation, Production Support, and Development.
  • Take ownership of day-to-day team delivery and progress tracking across multiple

workstreams.

  • Monitor sprint commitments, deliverables, dependencies, blockers, and risks and proactively highlight concerns.
  • Conduct/coordinate daily team checkpoints and ensure action items are tracked to closure.
  • Work closely with team leads and individual contributors to ensure priorities and

commitments are clearly understood.

  • Identify resource constraints and capacity issues and escalate them to the Senior

Technical Project Manager.

  • Work closely with QE engineers to strengthen and improve automation regression

suites, coverage, stability, and execution efficiency.

  • Monitor automation coverage, flaky tests, script maintenance, execution failures, and regression gaps.
  • Identify opportunities to improve automation coverage and reduce manual testing effort.
  • Drive continuous improvement initiatives around test automation, regression

efficiency, quality, and release readiness.

  • Partner with technical leads to identify opportunities to leverage AI and automation for improving QA/QE productivity.
  • Own and consolidate daily project/team updates and provide concise status updates to the Senior Technical Project Manager.
  • Maintain dashboards and reports covering: Execution progress, Automation coverage,

Defect trends, Automation stability, Release readiness, Team utilization.

  • Ensure timely communication of critical issues, risks, and delivery impediments.
  • Work with Production Support teams to monitor recurring production issues and identify

opportunities for preventive testing and automation.

  • Ensure production issues are appropriately fed back into QA regression and automation coverage.
  • Support onboarding, knowledge transfer, resource planning, and team development activities.

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