Project Lead Engineer – Digital Twin
Job Description
JOB DETAILS
REQUIREMENTS
- AVEVA Asset Information Management (AIM): ADF loading, connectors, dashboards, class libraries, data governance.
- Competitor platform experience (desirable): Hexagon SDx/SPF, Bentley iTwin/AssetWise, Siemens COMOS/Xcelerator, AspenTech APM, IBM Maximo, SAP PM.
- Understanding of engineering deliverables: P&IDs, 3D models, datasheets, tag lists.
- Data tools: SQL, ETL/EdLT pipelines, Python scripting.
- Exposure to cloud deployment (Azure/AWS), OT/IT cybersecurity, and historian/DCS/SCADA data.
- Strong background in industrial automation, engineering information systems, or digital transformation.
- Hands-on delivery experience with AVEVA AIM or equivalent digital twin platforms.
- Experience working with EPCs and owner-operators.
- Proven customer-facing leadership and issue-resolution skills.
- Experience with risk assessment, data validation, and governance frameworks.
- Background leading multi-disciplinary engineering teams in global environments.
RESPONSIBILITIES
- Lead the architecture and delivery of digital twin and asset information solutions, including data modeling, taxonomy definition, and metadata quality.
- Collaborate with Sales and Project Managers to develop scope, estimates, and technical deliverables.
- Configure and deploy AVEVA AIM, including data ingestion, model structuring, dashboards, and search configurations.
- Integrate engineering, maintenance, and operational data (P&IDs, 3D models, CMMS, SCADA tags, documents).
- Conduct on-site and remote data validation, configuration, commissioning, and user acceptance testing.
- Define and enforce data governance frameworks, class libraries, and engineering information standards.
- Coordinate with global engineering centers to ensure accuracy and quality.
- Identify project risks and interoperability challenges and create mitigation plans.
- Serve as primary technical interface with customers, managing expectations and resolving issues.
- Ensure adherence to engineering processes, cybersecurity guidelines, and quality standards.
- Mentor engineering team members and support capability development.
- Optimize project cost, resource allocation, and reduce rework to improve margins.
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