Senior Customer Value Architect - Sydney

present of AI

Sydney

Hybride

AUD 120 000 - 180 000

Plein temps

Il y a 3 jours
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Résumé du poste

Neara in Sydney is seeking a Senior Customer Value Architect to work with large utility customers, ensuring they gain real value from a physics-based digital twin product. You will map workflows, explain simulation outputs, and drive adoption among technical and non-technical teams.

The role focuses on translating complex models into practical steps, building trust with utility partners, and shaping how AI-assisted analysis guides decisions in grid planning and resilience.

Qualifications

  • Experience in customer-facing technical roles.
  • Knowledge of utility operations and how electricity networks run.
  • Ability to translate complex models into actionable steps for teams.

Responsabilités

  • Collaborate with large utility customers to define value from the product.
  • Map workflows and adoption paths for simulation tools.
  • Translate model outputs into practical decisions for stakeholders.

Connaissances

Customer-facing tech roles
Utility operations knowledge
Data analysis
Stakeholder communication

Description du poste

Senior Customer Value Architect - Sydney

A Senior Customer Value Architect typically works with large utility customers to make sure they get real value from a technical product. This means understanding how electricity networks run, mapping workflows, and helping teams adopt simulation tools for planning and risk. A strong candidate brings experience in customer facing technical roles, utility operations knowledge, and the ability to translate complex models into practical steps.

How it fits the AI era

AI can speed up analysis of network data and flag patterns that would take too long to find by hand. The human part is judging which risks matter, building trust with utility teams, and turning model output into decisions people will act on. This role sits between the technology and the customer, so it stays focused on context and adoption.

How it builds AI experience

Working with a physics based digital twin means seeing how simulation and AI combine to test scenarios like storms or fires before they happen. That builds skills in model validation, data quality, and explaining results to non technical users. It is a practical way to learn where AI helps and where engineering judgment still leads.

Worth showing

  • Utility network knowledge
  • Customer facing technical work
  • Data analysis skills
  • Stakeholder communication
  • Adoption and training

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Neara

A physics-based 3D digital twin of the electricity network, so utilities can simulate a storm or a fire before it happens rather than inspect poles after.

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