Solution Consultant – EXALEAD/3DEXPERIENCE

All vacancies of AustraliaInformation & Communication TechnologySolution Consultant – EXALEAD/3DEXPERIENCE

Opportunity to transform organisations through a global solutions leader and build your technology career

Summary about this job

Consultants

Company: Dassault Systemes Australia Pty Ltd

Location: Brisbane

Work type: Full Time

Salary: n\a

Phone: +61-2-9088-8386

Fax: +61-8-1569-2075

E-mail: n\a

Site:

Detail information about job Solution Consultant – EXALEAD/3DEXPERIENCE. Terms and conditions vacancy

  • Cutting Edge Practices and Technology
  • Resources sector experience essential
  • Inclusive team culture

Imagine New Horizons

You have dreams? You enjoy a challenge? Here at Dassault Systèmes, we empower people and energize passion to change the world and create the future. Let's open new horizons together with the power of 3DEXPERIENCE virtual universes!

 

What will your role be?

Based in our Brisbane office you will be a critical member of the GEOVIA Portfolio Transformation Services team. You will be primarily responsible for prototyping demonstrable solutions accretive to the transformation of the GEOVIA Brand portfolio using 3DEXPERIENCE and other Dassault Systèmes (DS) Brands technologies. In particular, you will:

  • Create prototypes using out-of-the-box technologies (GEOVIA, 3DEXPERIENCE, all other DS Brands including EXALEAD, BIOVIA) to engage with Lead Customers through Sales and Centre of Excellence channels
  • Work together with Brand Portfolio Management to filter, validate and refine business requirements
  • Collaborate with Solution Architects while creating functional designs, technical designs and documentation of proof-of-concepts
  • Create opportunities for new Services revenue streams using out-of-the-box solutions
  • Provide knowledge transfer to consultants and partners

 

Your key success factors:

  • Intermediate years of experience in the software industry
  • Experience with EXALEAD, BIOVIA and 3DEXPERIENCE solutions
  • Working knowledge of machine learning
  • Experience in the resources sector preferred
  • Undergraduate or postgraduate degree qualifications  in computer science, information technologies or engineering

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