Key Responsibilities
Data Management & Governance
- Oversee end-to-end data lifecycle including collection, cleaning, validation, approval, and integration
- Ensure data integrity, compliance, and governance across all project and cost datasets
- Establish global standards for data quality, measurement units, procurement, contracts, and change management
- Standardize data practices across service lines for consistency and efficiency
Cost Management Data Support
- Manage project cost databases and reporting systems
- Support forecasting, benchmarking, and variance analysis through structured data systems
- Ensure accurate budgeting and cost tracking through integrated data frameworks
- Enable data-driven financial reporting and controls
Project Controls & Analytics
- Support data-driven project scheduling and automation tools
- Implement risk analytics models and predictive simulations for project risk mitigation
- Enable advanced analytics for project performance monitoring
- Support integration of data into project controls systems
Process Optimization & Automation
- Identify inefficiencies in data workflows and implement process improvements
- Drive automation of reporting, documentation, and quality assurance processes
- Develop and deploy data tools for technical and project teams
- Enhance operational efficiency through analytics-driven solutions
Reporting & Business Intelligence
- Enable development of BI dashboards and analytical tools for decision-making
- Ensure availability of high-quality data for AI and analytics applications
- Support structured reporting across global projects and teams
Risk Management & Compliance
- Implement data-driven risk assessment and compliance monitoring systems
- Support internal audits through automated data validation and checks
- Ensure adherence to organizational and regulatory data standards
Stakeholder Management & Leadership
- Work with cross-functional global teams to drive data adoption and governance
- Communicate insights and drive organizational alignment on data initiatives
- Promote a data-driven culture across business units
Continuous Improvement & Innovation
- Identify opportunities for innovation in data management practices
- Continuously enhance data quality, structure, and usability
- Support adoption of advanced analytics and AI-based solutions
