Global Data & Analytics Manager - DE&C

Your role The role of the Global Design Engineering & Construction (DE&C) Data & Analytics Manager is essential in upholding data-driven excellence across global construction projects. This role focuses on developing and executing comprehensive global data management and analytics strategy, including rigorous data quality assurance across multiple ERP systems, consolidation of information sources, advanced analytics, and executive-level reporting. The ideal candidate will enable teams to control and transform raw data into actionable insights, supporting informed decision-making at global, portfolio, regional, and subregional levels. This individual will champion innovation in data practices and ensure efficiency by aligning analytical ways of working globally.

The Global DE&C Data & Analytics Manager will be a multi-disciplinary, enthusiastic, and proactive professional with exceptional analytical, organizational, and presentation skills, confident in interacting with internal stakeholders across multiple levels and functions. Requiring strong technical expertise in data science and analytics, as well as a solid understanding of construction project operations, this role supports ongoing delivery and innovation through data-driven decision-making in a complex, multi-layered global matrix environment.

What you'll do Global Data Strategy & Governance

• Develop and Implement Data Strategy: Define and execute a global data management and analytics strategy for DE&C, aligning with organizational objectives and project delivery needs. Establish a clear vision for how data is used to drive decisions across all construction projects.
• Data Governance: Create and enforce global data governance standards, policies, and best practices to ensure data consistency, quality, and integrity across multiple systems and regions. Set up guidelines for data usage, security, and sharing, maintaining compliance with internal and external requirements.
• Standardization: Define and maintain data taxonomies, templates, and definitions to standardize information across various projects and regions, enabling apples-to-apples comparisons and coherent reporting. Ensure that all regional and functional teams adhere to common data definitions and metrics.
• Policy and Best Practice Leadership: Have the authority to establish and propagate best practices in data handling and analytics. Continuously refine the governance framework to adapt to new challenges, tools, or business requirements, ensuring that data practices remain cutting-edge and effective globally.
• Workflow Improvement: Analyze existing workflows related to data collection, reporting, and analytics within DE&C. Identify inefficiencies or pain points (like duplicate data entry or slow report turnaround times) and redesign processes to be more streamlined and user-friendly.
• Return on Investment (ROI) and Value Tracking: Assess and communicate the business impact of data initiatives. Track efficiency gains or cost savings resulting from improved analytics (for instance, hours saved by automation, better budgeting accuracy, or avoidance of risk events due to early warning from data). Use these metrics to justify further investment in analytics and to focus efforts on the highest-value activities.
• Documentation and Knowledge Management: Ensure all data processes, models, and key insights are well-documented. Maintain a repository of analytical methods, business rules, and past analyses so the organization builds a memory and new team members can get up to speed quickly. Documenting also supports auditability and knowledge transfer within the team.

Data Integration, Quality Management, and Consolidation

• Cross-Platform Data Integration: Oversee the consolidation of data from diverse sources and Enterprise Resource Planning (ERP) systems (finance, project management, etc.) into a central repository or data lake. Ensure seamless integration of data from various business units and functional areas (e.g., Commercial, Operations, Finance, Procurement) for a holistic view of project performance.
• Data Cleaning and Quality Control: Lead initiatives to clean and harmonize data across systems - identifying discrepancies, resolving data quality issues, and establishing processes for continuous data quality improvement. Implement data validation checks and automate data cleaning where possible to maintain a high degree of accuracy and trust in the data.
• Single Source of Truth: Work towards creating a single source of truth for DE&C project data globally. This includes designing data architectures or leveraging existing platforms to centralize information, making it easily accessible and reliable for stakeholders at all levels.
• Tool and System Optimization: Collaborate with IT and software teams to improve data pipelines and system integrations. Influence the selection and implementation of data management tools or platforms (such as data warehouses, ETL tools, or integration middleware) that will facilitate efficient data consolidation and retrieval. Data Governance Tools: Deploy and manage data catalogues or other governance tools that document data sources, lineage, and definitions. This ensures transparency in where data comes from and helps users understand and trust the information provided.

Reporting, Performance Tracking and Data Insights

• Advanced Analytics & AI Integration: Leverage advanced analytics techniques, including statistical analysis, predictive modeling, and AI/ML integrations, to extract deeper insights from project data. Identify trends, correlations, and leading indicators that can inform proactive decision making (e.g., predicting project delays or cost overruns before they happen using data patterns).
• Dashboarding and Reporting: Lead the design and development of executive-level dashboards and reports that provide clear visibility into project and portfolio health. Use business intelligence tools - primarily Power BI, and potentially others like Tableau - to create interactive and intuitive visualizations. Ensure these dashboards highlight key performance indicators (KPIs) such as cost, schedule adherence, risk metrics, and resource utilization etc.
• Insight Communication: Synthesize complex data into concise presentations and reports tailored for various audiences, from executive leadership to project teams. Clearly communicate what the data is saying - telling the "story" behind the numbers - so that stakeholders can quickly grasp issues and opportunities. This includes writing commentary and briefing notes that explain findings and recommendations.
• Global and Regional Analysis: Provide analytics at multiple levels - global roll ups for senior management, as well as granular analysis for regional and subregional teams. Deliver insights that enable comparison between regions or projects, helping identify best performers, outliers, and areas needing attention.
• Continuous Improvement of Reporting: Continuously refine reporting tools and processes. Solicit feedback from stakeholders to improve the relevance and usability of analytics outputs. Automate recurring reports and ensure real time data availability where possible, reducing manual effort and increasing responsiveness.
• Performance Tracking: Define and track operational KPIs related to project controls and execution (e.g., forecasting accuracy, data timeliness, reporting lag). Provide regular updates and insight into these metrics to drive accountability and improve performance across the DE&C organization.

Digital Tooling and Innovation in Analytics

• BI Tools Expertise: Act as the in house expert on Power BI and similar analytics platforms. Champion the use of these tools across DE&C for reporting and analysis. Train and support other team members in utilizing BI tools effectively, ensuring self service analytics capabilities are developed within regional teams.
• Emerging Technologies: Stay up to date with emerging technologies in data analytics, AI, and construction tech. Evaluate the applicability of new solutions (e.g., AI driven analytics platforms, data visualization techniques, or big data tools) to continuously enhance the DE&C analytics ecosystem.
• Automation: Identify opportunities for automation in data collection, reporting, and analysis. Implement automated data workflows and reporting pipelines to minimize manual data handling and reduce errors. For instance, automate the generation of weekly project dashboards or develop alert systems that notify stakeholders of anomalies (such as cost spikes or schedule slips).
• Data Driven Culture & Tools Integration: Support the integration of analytics with existing construction management tools (such as Procore, Primavera, or others used in DE&C). Ensure that data flows from project management systems into analytical models smoothly. Promote a culture where project and regional teams routinely use data and tools to guide their decisions - making data driven decision making a standard practice.
• Innovation and AI Solutions: Pilot and implement AI integration where it can add value - for example, using machine learning to forecast project outcomes, employing natural language processing (NLP) to analyze project documents or survey feedback, or integrating with chatbots for querying project databases. Validate these innovations through small scale trials and scale up successful solutions to global use.

Collaboration, Stakeholder Engagement, and Support

• Cross Functional Collaboration: Operate effectively in a multi layered, matrix organization. Engage with various internal stakeholders - including Project Controls, Regional DE&C teams, Finance, IT . click apply for full job details