Lead finance and data analytics initiatives within the Project Finance Capability Centre, improving data quality, standardising reporting, and driving automation across finance processes.
Compensation
Salary: £52,161
Responsibilities
Create, enhance, and maintain dashboards, reporting solutions, and self‑service analytics capabilities that provide actionable insights, improve business performance, and support strategy‑making across the PFCC and wider Air business
Work across the PFCC to translate project and finance data into meaningful insights, identifying opportunities to improve reporting solutions, data models, analytics capability, and underlying data structures
Develop and implement standardised data rules, structures, and models that support greater automation, ensuring stakeholder requirements are reflected within reporting solutions, data models, and finance processes
Apply data and analytics expertise to modernise PFCC data maintenance activities, driving automation, improving reporting efficiency, and embedding best‑practice data management techniques across Project Finance
Improve data ownership and integrity by reducing manual corrections, promoting "right at source" principles, and strengthening the quality, consistency, and governance of financial and project data
Senior technical leader responsible for defining the end‑to‑end architecture of enterprise data platforms, advanced analytics solutions, and AI/ML capabilities.
Compensation
The salary range for this role is 132,400 USD - 251,600 USD.
Responsibilities
Define the long‑term architecture for data, analytics, and AI/ML platforms in alignment with enterprise digital strategy.
Develop reference architectures, design patterns, and platform standards for cloud, Lakehouse, and AI ecosystems.
Define and lead technology proof of concepts to ensure feasibility of architecture solutions.
Provide strong thought leadership in pursuit of modern architecture principles and technology modernization.
Evaluate emerging technologies and provide strategic recommendations (AI, knowledge graphs, real‑time streaming, ML Ops, etc.).
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
Lead the architecture and technical design for the migration of an existing SAP BusinessObjects reporting environment to Microsoft Power BI.
Compensation
$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Review BusinessObjects reports, Universes, data sources, calculations, business rules, dependencies, and security requirements.
Develop the target-state architecture for migrating reporting and analytics capabilities to Microsoft Power BI.
Determine which existing reports should be migrated, consolidated, redesigned, or retired.
Design scalable Power BI semantic models and reusable enterprise datasets.
Develop dimensional data models, including appropriate fact and dimension structures.
Requirements
Bachelor’s degree in STEM
Nice to have: Microsoft Power BI certifications
Nice to have: Microsoft Fabric certifications
Nice to have: Experience supporting large-scale, mission-critical reporting environments
Lead the design, implementation and security of the organisation’s Microsoft Azure cloud environment, ensuring alignment with public sector cybersecurity requirements.
Locations (2)
Dublin 2, Ireland
Dublin, Leinster, Ireland
Responsibilities
Optimise existing cloud infrastructure
Implement best‑practice architecture
Strengthen security controls
Ensure alignment with NIS2 and Irish NCSC guidance
Develop infrastructure, network and security designs
Requirements
Certified Computer Science or associated technology qualification
A sales-focused technology specialist and trusted advisor to clients, with an emphasis on pre-sales for Microsoft Data & AI solutions.
Locations (3)
Sydney, New South Wales, Australia
Brisbane, Queensland, Australia
Melbourne, Victoria, Australia
Responsibilities
Lead in-depth client discovery to gather and analyse Data & AI requirements.
Develop and present innovative Data & AI solutions using Microsoft data platforms, OpenAI, Microsoft Fabric, and related services to Senior Executives.
Create detailed architecture diagrams and solution designs using Draw.io and other visualization tools.
Lead in-depth client discovery to gather and analyse Data & AI requirements.
Develop and present innovative Data & AI solutions using Microsoft data platforms, OpenAI, Microsoft Fabric, and related services to Senior Executives.
Create detailed architecture diagrams and solution designs using Draw.io and other visualization tools.
Lead the design and delivery of trusted analytics products that enable AI‑enabled decision‑making for Swinerton.
Compensation
$160,000.00 - $190,000.00 Annual Salary
Responsibilities
Own the BI and analytics solution strategy by defining architecture, standards, and roadmap for trusted reporting, semantic models, analytics products, data science solutions, and AI‑enabled analytical experiences that support enterprise decision‑making.
Help move analytics beyond traditional dashboards by identifying opportunities for natural‑language exploration, proactive insights, recommendations, anomaly detection, predictive analytics, and agentic analytics patterns where trusted data, context, and governance support reliable use.
Partner with business leaders, product owners, data engineering, platform teams, and AI stakeholders to translate business needs into scalable analytics and data science solutions aligned to measurable business outcomes.
Translate business priorities into solution approaches, dashboard requirements, semantic model needs, analytical methods, implementation plans, and well‑scoped work that enables effective team execution.
Build scalable analytics products that combine strong data modeling, business context, intuitive user experience, reusable design patterns, and appropriate statistical or AI methods to enable trusted self‑service, executive‑ready insights, and more proactive decision support.
A hands-on engineering leadership role responsible for establishing the architecture, standards, governance practices, and data products that enable trusted decision-making, enterprise analytics, and AI-powered solutions across the enterprise.
Own the enterprise data foundations strategy by defining the architecture, standards, semantic and knowledge layers, and roadmap for governed data assets that support enterprise BI, analytics, automation, and AI use cases.
Partner with business, analytics, and platform stakeholders to translate needs into scalable data solutions and align foundational capabilities to measurable business outcomes.
Translate business and platform needs into scalable data architecture approaches, implementation plans, and well-scoped work that enables effective team execution across data foundations initiatives.
Build scalable data products, semantic layers, and serving models that combine data modeling, master data, business context, metadata, and graph-based knowledge structures to enable trusted downstream consumption across BI, analytics, and AI use cases.
Establish trusted data foundations through governance, lineage, master data management, data quality, stewardship, and access practices that improve consistency, traceability, and confidence in enterprise.
Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, Statistics, or a related field; advanced degree is a plus.
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