Job Description

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.

Key job responsibilities

Business Intelligence & Reporting

• 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

Data Engineering & ETL

• 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

AI & Machine Learning Solutions

• 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

Project Controls Support

• 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

Stakeholder Engagement & Change Management

• 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

A day in the life

You will start your day reviewing automated project performance dashboards you have built, identifying any anomalies or risk signals that require attention. You will work with Construction Managers and TIPMs to understand their data needs and translate those needs into scalable reporting and AI solutions. You will spend time developing and refining ML models, building ETL pipelines, and deploying new AI-powered features on Amazon Bedrock. You will present insights to programme leadership, using data to tell a clear story about where the portfolio stands and where risks are emerging. You will collaborate with peers across the global DCCD network to align on data standards and share solutions that can be scaled across regions.

Basic Qualifications

• Experience in technical product or program management
• Experience building and evaluating system-level technical design
• 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

Preferred Qualifications

• 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

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