Level

Air Liquide

EPC Product Expert Lead - Aveva

Air Liquide is hiring an EPC Product Expert Lead - Aveva in New Delhi, India. Level rates it ; you can apply on Air Liquide.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Level classes it as a lead role.
  • Air Liquide has 1,000+ other open roles on Level.

AI in this role

How will you CONTRIBUTE and GROW?

The DDS InnoTech - EPC Product Expert Lead - Aveva oversees the L3 support ecosystem of Aveva Suite within the Digital Delivery Services (DDS) Innotech. He/She is a technical authority for our global engineering platform. You will upskill and lead the L3 team towards a high performance team for the configurations and maintenance of the Aveva environment (Aveva UE, ERM, Workpacks..).

His/Her mission is to build a robust, scalable technical foundation that supports our progressive transition from SmartPlant Suite.

1.Technical Leadership & Team Management

  • L3 team oversight: Lead a team of experts (mainly based in India but not only), overseeing complex ticket resolution, system upgrades, and environment synchronization.

  • Architecture Implementation: Work closely with the EPC Solution Architect to translate high-level designs into technical configurations within the Aveva structure.

  • Standardization: Define and enforce technical "Golden Rules" for database management, project setup, and multi-office collaboration (Aveva Global).

2. L3 team upskilling

3. Aveva Transition

  • Migration Execution: Act as the technical lead for moving intelligent data out of SmartPlant and into Aveva, working in tandem with the SmartPlant Lead Admin to ensure data integrity.

  • Tool Development: Interface for the development ​of PML (Programmable Macro Language) scripts, .NET plugins, and automated report templates to meet the requirements defined by the Product Managers.

 

4. Operational Excellence

  • Availability & Performance: Ensure the Aveva suite maintains close to 100% uptime and optimal latency for designers across all global centers.

  • Security & Compliance: Oversee access controls, license compliance, and data backups for the entire suite.

  • Vendor Escalation: Act as the primary technical point of contact with Aveva Support for high-priority platform bugs.

___________________

Are you a MATCH?

Education

Bachelor's, Master’s Degree or equivalent experience 

 

Training, certification

  • AVEVA E3D Design Administration

  • AVEVA Global Administration

  • AVEVA Pipework Spec Writing

Domain

Engineering, IT

Work Experience

EPC projects > 10 y

Engineering IT > 10 y

Lead admin for E3D and other Aveva products > 5 y

Language English

Level Fluent

 

Technical expertise 

  • 10+ years of Engineering IT experience, with at least 5 years as a Lead Admin role for Aveva E3D and/or other Aveva products

  • Programming Skills: proficiency in PML and C#/.NET for Aveva customization.

  • Database Knowledge: Deep understanding of SQL Server and Aveva's proprietary database structure.

Our Differences make our Performance


At Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.

We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.

How we rate this

EPC Product Expert Lead - Aveva at Air Liquide rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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