Construction Data & Digital Solutions Lead

United States Digital Space LLC

United Kingdom

Remote

GBP 80,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Health Insurance
Pension Scheme
Bonus Scheme
Professional body membership
Cycle to Work Scheme
Equity upside
Flexible working
Relentless development

Job summary

Laminar is seeking an experienced Digital Consultant in the United Kingdom to translate clients' challenges into data-driven solutions and to lead technical teams delivering impactful results for large capital projects. You will communicate complex concepts to non-technical audiences and drive value across built-environment initiatives.

You will work with Azure, Power BI and Python, applying best practices to shape products and internal data capabilities while supporting team growth and

Qualifications

  • Degree educated in Engineering, Surveying, Project Management or similar.
  • 5+ years experience in engineering/construction of large capital projects (>USD 100m).
  • 2+ years experience driving data and digital solutions set up and implementation across an organisation or large project.

Responsibilities

  • Develop data-driven digital solutions by understanding clients' business processes and challenging the status quo.
  • Lead junior team members to deliver to client expectations and communicate complex concepts clearly.
  • Develop Laminar data solutions and leverage digital technologies to collect and improve data across projects.

Skills

Data-driven solutions
Communication
Analytical mindset
Leadership

Education

Engineering, Surveying, Project Management

Tools

Power BI
SQL
Azure

Job description

Laminar is seeking an experienced Digital Consultant in the United Kingdom to translate clients' challenges into data-driven solutions and to lead technical teams delivering impactful results for large capital projects. You will communicate complex concepts to non-technical audiences and drive value across built-environment initiatives.

You will work with Azure, Power BI and Python, applying best practices to shape products and internal data capabilities while supporting team growth and

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