AECOM6 followers330 jobs

Systems Management Specialist

Mid levelSeniorFull-timeOfficeMelbourne VIC, AustraliaPosted 3 days agoVerified 3 days ago
Pending fitX of Y criteria met

About the job

The job is about becoming a Systems Management Specialist at AECOM, where you will play a crucial role in shaping how project controls and data are managed and integrated. Your expertise will support reporting, benchmarking, and decision-making, ultimately driving innovation through AI-enabled tools. The team thrives on collaboration, creativity, and a shared commitment to delivering a better world.

Meet the team

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You'll be responsible for

🔍

Assessing data architecture and strategy

Assess current project controls, project management and program data environments, identify improvement opportunities and advise on practical architecture options to support reporting, benchmarking, automation and future AI use cases.
⚙️

Implementing systems and data solutions

Lead the implementation and configuration and improvement of systems and data solutions across major projects and programs, ensuring solutions are scalable, maintainable and aligned to business needs.
📊

Developing data models

Create robust data models and reporting architectures to enable integrated dashboards and facilitate real-time decision-making.

Key criteria

📊

Data engineering and architecture experience

Proven experience designing and implementing data solutions in complex environments.

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🔧

Systems implementation capability

Experience implementing and configuring business systems in project management contexts.

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☁️

Cloud and data platform awareness

Working knowledge of Azure, AWS, or similar data platforms for practical implementation.

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5 criteria for this job
Data engineering and architecture experience
Proven experience designing and implementing data solutions in complex environments.

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Systems implementation capability
Experience implementing and configuring business systems in project management contexts.

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Cloud and data platform awareness
Working knowledge of Azure, AWS, or similar data platforms for practical implementation.

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Technical proficiency
Strong skills in data models, reporting architectures, and data integration.

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Continuous improvement focus
Proactive approach to enhancing data quality and workflow efficiency.

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