EMEA Data & Digital Program Manager

Who you are

• Experience in technical product or program management
• Experience building and evaluating system-level technical design
• Bachelor's degree in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields, or experience from a technical internship
• Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
• Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
• Experience building data pipelines or automated ETL processes
• Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS
• Experience communicating complex information and solutions to senior stakeholders and influencing decisions, or experience communicating results to senior leadership
• 5+ years of experience in business intelligence, data engineering, or data science roles, with demonstrated ability to build and deploy production-grade reporting and analytics solutions
• Proficiency in Python for data processing, automation, and machine learning model development
• Experience working with construction technology platforms such as Procore, BIM 360, Smartsheet, or similar project management and document management systems
• Master's degree in Data Science, Computer Science, Engineering, or related field
• Experience developing AI-powered applications using LLMs and GenAI platforms (Amazon Bedrock, Claude, or similar), including agentic workflow design and prompt engineering
• Experience with multimodal AI (AI Vision) for document validation, drawing compliance, or image-based quality monitoring
• Experience with machine learning operations (MLOps) and deploying ML models in production environments using AWS SageMaker or equivalent
• Familiarity with construction project controls methodologies including cost management, schedule analysis (Earned Value Management), and risk management
• Experience with BIM information management and digital delivery standards (ISO 19650 or equivalent)
• Proficiency in advanced analytics using statistical packages such as R, SAS, or equivalent
• Experience with serverless architectures and infrastructure-as-code (AWS CloudFormation, CDK)
• Experience developing and presenting business case analysis to senior leadership, including ROI analysis for technology and AI/ML initiatives
• Demonstrated track record of delivering measurable efficiency gains through data and technology adoption on large-scale infrastructure or construction programmes
• Experience working in Agile/Scrum environments and driving digital transformation initiatives
• Familiarity with data governance frameworks and best practices for ensuring data integrity and accuracy in large organisations

What the job involves

• AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure
• The EMEA Data Center Capacity Delivery (DCCD) team is seeking a highly motivated and technically skilled Business Intelligence Engineer / Data Scientist / AI Specialist to join our Business and Project Controls function
• This is a pivotal role at the intersection of construction delivery, data engineering, and artificial intelligence - supporting the EMEA DCCD team in transforming how we plan, monitor, and control the delivery of hyperscale data center capacity across the region
• You will work closely with Construction Managers, Program Managers, Technical Infrastructure Program Managers (TIPMs), and regional leadership to design and deploy intelligent data solutions that provide real-time visibility into project performance, cost, schedule, quality, and risk
• You will be the data and AI engine behind our project controls function - turning raw construction data into actionable insights that drive faster, smarter, and more consistent delivery decisions
• This is an individual contributor role embedded within the EMEA DCCD Business and Project Controls team, reporting to the EMEA DCCD Business & Project Controls Lead
• Design, develop, and maintain scalable, automated dashboards and reporting systems that provide real-time visibility into EMEA DCCD project performance across cost, schedule, quality, and safety dimensions
• Build and maintain BI solutions using Amazon QuickSight, Power BI, or equivalent platforms, tailored to the needs of Construction Managers and senior leadership
• Develop leading indicator metrics and KPI frameworks that enable proactive risk identification and data-driven decision-making across the EMEA construction portfolio
• Serve as the primary liaison between the Business & Project Controls function and technical data teams, ensuring reporting solutions are aligned to operational needs and business objectives
• Produce regular programme-level performance reports and executive summaries, consolidating data from multiple projects and clusters across the EMEA region
• Build and maintain robust ETL pipelines to ingest, transform, and integrate construction cost, schedule, and quality data from platforms including Procore, BIM 360, Smartsheet, and internal AWS data systems
• Design and manage data models and warehousing solutions that support automated reporting and longitudinal trend analysis across the EMEA portfolio
• Ensure data integrity, accuracy, and consistency across all reporting systems, establishing data governance standards and best practices within the project controls function
• Develop and maintain data pipelines using Python, SQL, and AWS services (S3, Lambda, Glue, Redshift, DynamoDB) to support scalable and repeatable analytics workflows
• Architect and deploy AI-powered applications using Amazon Bedrock, LLMs, and GenAI capabilities to automate and enhance construction project controls processes, including: o Predictive Schedule Analytics: ML models that identify schedule risk signals and forecast milestone slippage before it occurs o Cost Variance Intelligence: AI-driven analysis of change orders, contingency consumption, and budget performance to surface anomalies and trends o Document Quality Automation: AI Vision and multimodal models to validate construction documentation, O&M manuals, warranties, and as-built drawings for completeness and compliance o Automated Reporting Narratives: LLM-based generation of project status summaries and risk commentary from structured project data o Closeout Compliance Automation: Agentic workflows that validate handover documentation against commissioning checklists and contractual requirements
• Build and operationalise machine learning models that extract insights from unstructured project documentation, enabling intelligent search, classification, and anomaly detection
• Integrate AI capabilities with existing construction technology platforms to create seamless, automated workflows that reduce manual effort and improve data quality
• Support the Business & Project Controls function in gathering, consolidating, and analysing data across EMEA clusters to produce accurate reporting on scope, schedule, budget, resources, quality, and risk
• Develop and maintain construction project control dashboards that integrate traditional project management metrics with AI-generated predictive analytics
• Identify gaps in current reporting and process workflows; design and implement intelligent automation solutions to eliminate non-value-add activities and reduce level of effort (LOE) on repetitive tasks
• Contribute to the development and continuous improvement of project controls standards, templates, SOPs, and processes across the EMEA DCCD team
• Communicate complex data findings and AI-generated insights clearly and concisely to both technical and non-technical audiences, including senior leadership
• Drive adoption of new BI tools, AI solutions, and data-driven workflows across the EMEA Construction team through training, documentation, and hands-on support
• Collaborate with global counterparts in AMER and APJC to share best practices, align on data standards, and scale successful solutions across AWS's global construction portfolio
• Champion a culture of data-driven decision-making within the EMEA DCCD Business & Project Controls function