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Open nowPosted 9 hours agoWe saw it 96 min after it went up

[Internal Hiring]: Project Management Executive

Vinove34 open roles

Where
Noida
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Your applicationOpen now[Internal Hiring]: Project Management ExecutiveVinove · Noida

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Vinove postings stay open a median of 6 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 9 hours ago

Vinove median: 6 days open

The posting

Job Description – Project Management Executive (PME)

Experience: 7–8 Years

Function: Software Delivery / Project Management

Role Overview

We are looking for a highly analytical and experienced Project Management Executive (PME) with 7–8 years of experience in managing end-to-end IT and digital product development projects.

The ideal candidate should have strong expertise in project management and business analysis, with a practical understanding of AI-driven BA and Project Management practices. The candidate must be capable of translating business requirements into structured project plans, functional specifications, user stories, workflows, and actionable delivery milestones.

The role requires experience in managing diverse digital projects, including E-Commerce platforms, CMS-based solutions, UI/UX and Design projects, AI-powered applications, and web/mobile application development.

The candidate will work closely with clients, business stakeholders, designers, developers, QA, and delivery leadership to ensure effective planning, execution, monitoring, and successful project closure. We are looking for someone who can independently drive projects, identify risks, analyse delivery performance, and bring structure and accountability to the project lifecycle.

Key Responsibilities

1. End-to-End Project Management

  • Own the complete project lifecycle, from initial requirement discovery and project initiation to planning, execution, monitoring, delivery, and closure.
  • Manage multiple projects simultaneously, ensuring delivery within agreed timelines, scope, budgets, and quality expectations.
  • Prepare detailed project plans, schedules, milestones, dependencies, resource requirements, and delivery roadmaps.
  • Track project progress against planned milestones and proactively identify deviations, delays, and delivery risks.
  • Ensure scope, timelines, deliverables, assumptions, and change requests are properly documented and approved.
  • Drive accountability across cross-functional teams and ensure timely completion of committed deliverables.

2. Business Analysis & Requirement Management

  • Conduct requirement discovery sessions with clients and internal stakeholders to understand business objectives, workflows, and functional expectations.
  • Translate business requirements into BRDs, FRDs, user stories, process flows, functional specifications, and acceptance criteria.
  • Analyse business processes and identify gaps, dependencies, opportunities for improvement, and potential implementation challenges.
  • Work closely with UI/UX teams to define user journeys, wireframes, functional workflows, and design requirements.
  • Ensure requirements are clearly understood by development and QA teams before execution.
  • Manage requirement changes through structured impact analysis, documentation, and stakeholder approvals.
  • Facilitate requirement walkthroughs, sprint reviews, UAT planning, and client sign-offs.

3. AI-Driven Business Analysis & Project Management

  • Demonstrate practical expertise in using AI tools to improve business analysis, project planning, documentation, and delivery management.
  • Leverage AI for requirement analysis, user story generation, acceptance criteria, workflow documentation, gap analysis, and impact assessment.
  • Use AI-assisted tools to support project estimation, task breakdown, risk identification, progress analysis, and reporting.
  • Explore and implement AI-driven workflows to improve project management efficiency, documentation quality, and delivery predictability.
  • Understand the application of AI in software development projects, including AI-powered features, AI agents, automation, and GenAI-based solutions.
  • Ensure AI-generated requirements and project artefacts are reviewed, validated, and aligned with actual business and technical requirements.

4. Cross-Functional Project Coordination

  • Coordinate effectively with UI/UX, frontend, backend, CMS, E-Commerce, AI/ML, QA, and DevOps teams.
  • Ensure clear communication of requirements, priorities, deliverables, and dependencies across teams.
  • Facilitate project meetings, sprint planning, daily stand-ups, reviews, retrospectives, and stakeholder discussions.
  • Resolve project-level blockers and escalate critical issues with appropriate analysis and proposed solutions.
  • Ensure smooth coordination between client stakeholders and internal delivery teams.
  • Monitor resource allocation and utilization to ensure effective project execution.

5. Project Monitoring, Reporting & Governance

  • Maintain project dashboards, trackers, delivery plans, RAID logs (Risks, Assumptions, Issues and Dependencies), and status reports.
  • Monitor project health across timelines, scope, budget, resource utilization, quality, and client satisfaction.
  • Prepare analytical reports highlighting planned versus actual progress, delivery variances, risks, and corrective actions.
  • Establish clear project governance, reporting frequency, escalation mechanisms, and review processes.
  • Identify recurring delivery challenges and recommend process improvements.
  • Provide accurate and timely project updates to clients and senior management.

6. Quality, Delivery & Closure

  • Coordinate with QA teams to ensure test planning, defect tracking, UAT, and release readiness.
  • Ensure project deliverables meet agreed requirements and acceptance criteria.
  • Monitor defect trends, rework, scope deviations, and quality-related risks.
  • Drive client feedback, UAT sign-offs, deployment coordination, and project closure activities.
  • Conduct project retrospectives and document lessons learned for continuous improvement.

Must-Have Skills & Competencies

Project Management

  • Strong understanding of the complete Software Development Life Cycle (SDLC).
  • Proven experience in end-to-end IT project management and handling multiple concurrent projects.
  • Strong command of Agile/Scrum and practical knowledge of Waterfall or hybrid delivery approaches.
  • Expertise in project estimation, planning, scheduling, scope management, risk management, and resource coordination.
  • Ability to independently manage project execution and stakeholder expectations.

Business Analysis

  • Strong business analysis and requirement-gathering capabilities.
  • Expertise in preparing BRDs, FRDs, user stories, acceptance criteria, workflows, and functional specifications.
  • Ability to understand complex business requirements and translate them into implementable solutions.
  • Strong analytical thinking, process mapping, and problem-solving capabilities.

AI & Technology Understanding

  • Hands-on experience using AI tools in Business Analysis and Project Management workflows.
  • Understanding of AI-assisted documentation, requirement analysis, estimation, project reporting, and workflow automation.
  • Good understanding of web and mobile application development, APIs, databases, CMS platforms, and E-Commerce architecture.
  • Ability to understand technical discussions and coordinate effectively with engineering teams without necessarily being a hands-on developer.
  • Familiarity with AI/ML, Generative AI, AI agents, and automation-based solutions.

Project Management Tools

  • Practical experience with tools such as Jira, Confluence, Trello, Asana, ClickUp, or equivalent.
  • Strong command of Excel/Google Sheets, project dashboards, reporting, and analytical data presentation.
  • Familiarity with documentation, collaboration, and AI productivity tools.

Professional Competencies

  • Strong analytical and data-driven decision-making ability.
  • Excellent written and verbal communication.
  • Strong client-facing and stakeholder management skills.
  • High ownership, accountability, and attention to detail.
  • Ability to manage competing priorities and work independently.
  • Proactive approach to identifying problems and driving solutions.

Good-to-Have Experience

  • Experience delivering E-Commerce platforms and integrations.
  • Experience managing CMS-based projects such as WordPress, Drupal, Shopify, or other enterprise CMS platforms.
  • Exposure to UI/UX design projects, design systems, and user experience workflows.
  • Experience managing AI-powered applications, GenAI solutions, AI agents, or automation projects.
  • Experience working with international clients and distributed delivery teams.
  • Prior experience in IT services companies, software development firms, or digital agencies.

Experience Requirements

  • 7–8 years of overall professional experience, with substantial hands-on experience in IT project management and business analysis.
  • Demonstrated experience managing projects across different technology and business domains.
  • Proven track record of independently driving projects from requirement discovery through delivery and closure.
  • Experience coordinating cross-functional teams comprising design, development, QA, and other technical stakeholders.
  • Strong practical exposure to AI-driven project management and business analysis practices.

KPIs / Success Metrics

  • Project delivery adherence against committed timelines and milestones.
  • Accuracy of project planning, estimation, and delivery forecasting.
  • Requirement clarity and reduction in scope-related gaps and rework.
  • Effective identification and management of project risks and dependencies.
  • Project budget and resource utilization adherence.
  • Client and internal stakeholder satisfaction.
  • Quality of project documentation, dashboards, and reporting.
  • Adoption and measurable effectiveness of AI-driven BA and PM practices.
  • Timely resolution of blockers, escalations, and delivery dependencies.
  • Successful UAT, client sign-off, and project closure.
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