PMO Project Controls Lead — Data-Driven Dashboards

Laing O'Rourke

Birmingham

Hybrid

GBP 65,000 - 90,000

Full time

14 days+

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Job summary

Laing O'Rourke is recruiting a Project Controls Manager to help establish a new PMO within the Great Grid Partnership in Birmingham. You will lead monthly performance measurement, develop dashboards and governance across a portfolio of major projects, and deliver actionable insights for executive decision-making.

Ideal candidates will have strong data analytics, experience with Power BI and Excel, and a background in project controls or PMO within engineering, infrastructure or energy sectors,

Qualifications

  • Experience in project controls or PMO environments.
  • Proven ability to develop and maintain dashboards and reports.
  • Strong stakeholder engagement and communication skills.

Responsibilities

  • Lead the monthly performance measurement and reporting cycle across multiple projects and functions.
  • Collect, analyse and coordinate project controls data to provide insights.
  • Develop and improve management dashboards, reporting tools and data sources.
  • Maintain Power BI dashboards and reports with high data accuracy.
  • Support structured project controls reviews and cross-functional workshops.
  • Identify opportunities for digitisation, automation and continuous improvement.
  • Provide feedback on data quality and root causes of issues.
  • Collaborate with engineering, commercial, planning, quality and delivery teams to align reporting standards.
  • Support senior leadership with insightful reporting and recommendations.

Skills

Data analysis
Reporting
Stakeholder management
Problem-solving

Tools

Power BI
Excel
Project management software

Job description

Laing O'Rourke is recruiting a Project Controls Manager to help establish a new PMO within the Great Grid Partnership in Birmingham. You will lead monthly performance measurement, develop dashboards and governance across a portfolio of major projects, and deliver actionable insights for executive decision-making.

Ideal candidates will have strong data analytics, experience with Power BI and Excel, and a background in project controls or PMO within engineering, infrastructure or energy sectors,

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