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Associate - PMO (Capital projects)

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Onsite

Associate - PMO (Capital projects)

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Associate - PMO (Capital projects)

Skills

TableauData AnalysisAIRisk ManagementPower BI

7 days ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

16 October 2026

What they need


Role: You will help run large capital projects (especially in mining, utilities, oil & gas or broader ENR) better (through schedules, cost control, risk management and digital tools), and deliver clear, high-quality analysis and recommendations to clients.

Job Responsibility:

Program governance & PMO operations: You help set up or improve the way big projects are managed (called a PMO – Project Management Office).

This includes:

  • Creating clear rules for how decisions are made, how changes are approved, who is responsible for what, and how issues get escalated
  • Building and analysing the overall project schedule (called Integrated Master Schedule)
  • Running “what-if” scenarios to see how delays or changes will affect the timeline

Cost & performance controls:

You track money and progress on the project.

You will:

  • Build analyses that show whether the project is over budget or behind schedule (using tools like Earned Value Management)
  • Create simple, clear dashboards for senior client leaders so they can quickly see the health of the project and make decisions

Risk & safety management

You help the team understand and manage risks.

This means:

  • Maintaining risk registers
  • Calculating the impact of risks
  • Suggesting ways to reduce or prepare for them
  • Turning this analysis into practical recommendations the team can present to the client

Digital & advanced analytics

You use modern digital tools to improve project delivery.

This includes:

  • Helping design how digital tools (like 5D BIM – which links cost and schedule to 3D models) will be used
  • Running advanced schedule and risk simulations (Monte Carlo, scenario planning, etc.)
  • Building Power BI or Tableau dashboards (control towers)
  • Testing AI tools that can speed up work and leave the client with useful assets they can reuse later

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