Full Time
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Hill International Limited

Job Details

Responsibilities

Establish and enforce a single unified project data framework integrating schedule, cost, risk, procurement, documents, and models.
Govern setup and operation of Oracle Primavera Cloud (EPPM) including EPS, unified WBS, activity coding, resource coding, cost coding and consolidation of all contractor schedules into one synchronized master schedule.
Oversee integration of project data sources including P6 / EPPM, EDMS (Aconex, ACC, Procore, etc.), risk tools (PRA, Safran) and BIM / Digital Twin platforms.
Develop and maintain integrated BI dashboards (Power BI / PMIS) providing executive-level and project-level views, and real-time and near-real-time data refresh.
Apply AI-based analytics to detect delayed drivers and logic gaps.
Support quantitative risk analysis including probabilistic risk modelling (Monte Carlo) and schedule and cost risk simulations.
Integrate automated progress tracking and reality capture data (photos, 360°, drones) into schedule and dashboards.
Support 4D / 5D and Digital Twin analytics linking BIM, schedule, and cost for milestone reviews and decision forums.
Ensure data quality, traceability, version control, and auditability across all reporting.
Maintain data-related risks.
Report to the client on data maturity, predictive insights, and decision-support readiness.
Capture lessons learned and continuously enhance analytics and AI models.
Inform themselves of the relevant quality, environmental, safety and occupational health policies, BIM management manuals and procedures in place within the company and ensure continued compliance with these requirements while employed.
Develop procedures to facilitate sharing of content and knowledge throughout the organization.
Coordinate with regional office for technical support required to ensure the correctness and completeness of the information production.

Qualifications

Bachelor’s degree in engineering, data science, information systems, computer science, or related discipline.
Master’s degree in data analytics, AI or systems engineering is preferred.
Minimum of 10 years’ experience in project controls, data analytics, or digital delivery on large-scale or mega projects.
Experience working in a PMC, client, or governance role is strongly preferred.
Strong expertise in:

  • Oracle Primavera P6 / Primavera Cloud (EPPM)
  • Power BI
  • Schedule, cost, and risk integration
  • Safran Risk
  • Practical experience with AI-based analytics tools (e.g. Acumen, nPlan, ALICE, Oracle AI, similar)
  • Experience integrating BIM, Digital Twin, and reality-capture data into reporting environments
  • Strong understanding of data governance, KPIs, and executive reporting
  • Excellent English communication and reporting skills

About the Company

The company, with more than 4,300 professionals in over 100 offices worldwide, provides program management, project management, construction management, project management oversight, advisory, facilities management, and other consulting services to clients in a variety of market sectors. Engineering News-Record magazine recently ranked the company as one of the largest program management firms in the world.
The company is exclusively a program, project, and construction management provider, meaning it has one focus as a company: protecting client interests. Free of any potential conflicts, the entire business is geared towards helping clients achieve their desired outcomes. The company is dedicated to exceeding expectations throughout the entire construction project lifecycle and adapts to the needs of each assignment to develop tailored approaches and solutions to meet those needs.
The company is part of a global infrastructure solutions group of companies.
The company is an equal opportunity employer/veteran/disabled.

Note

This job description is intended to provide an indication of the nature and levels of work, knowledge, skills, abilities and other essential functions to be carried out as part of fulfilling the role. Various other duties as required.

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