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EMEA Data & Digital Program Manager

Amazon Data Services Ireland Limited -
Dublin, County Dublin

Apply Now

Job details

Full-time
5 days ago

Qualifications

Power BI
Data modelling
Business intelligence
Law
Computer Science
SAS
R
Tableau
Master's degree
SQL
AWS
Project management
Presentation skills
Bachelor's degree
Computer Engineering
Smartsheet
Agile
Predictive analytics
S3
Data visualisation
Redshift
DynamoDB
AI
Document management systems
Python
ProCore
Analytics

Full job description

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

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Apply Now

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data center security manager, dub jobs in coolock, d

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