EMEA Data & Digital Program Manager

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

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

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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