Senior AI & Innovation Advisor, Systems Engineering

Halliburton

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

Halliburton in Singapore seeks an experienced Innovation Advisor/Manager to identify and implement AI, automation and analytics solutions that boost performance and operational efficiency. You will partner with business units to translate challenges into practical pilots and scalable deployments, guiding adoption and measurable outcomes.

The role requires hands-on AI expertise, strong stakeholder engagement, and ability to lead cross-functional teams through feasibility studies, pilots and

Qualifications

  • Undergraduate STEM degree and 7+ years relevant experience.
  • 5+ years in AI, digital transformation, analytics.
  • Proven experience leading AI or digital transformation projects.
  • Familiar with cloud platforms, low-code tech, and transformation tools.

Responsibilities

  • Partner with business teams to understand challenges and requirements.
  • Assess and recommend AI, automation, analytics, and digital solutions.
  • Lead feasibility studies, pilots, and solution deployments.
  • Provide SME on emerging technologies and best practices.
  • Evaluate vendors, platforms, and alternatives.
  • Facilitate technical discussions and workshops with stakeholders.
  • Support implementation, adoption, and change management activities.
  • Establish implementation standards, governance, and best practices.
  • Monitor technology trends and new capabilities.

Skills

AI expertise
Digital transformation
Analytics
Change management
Stakeholder engagement
Communication

Education

STEM degree

Tools

Cloud platforms
Low-code technologies
AI platforms

Job description

Halliburton in Singapore seeks an experienced Innovation Advisor/Manager to identify and implement AI, automation and analytics solutions that boost performance and operational efficiency. You will partner with business units to translate challenges into practical pilots and scalable deployments, guiding adoption and measurable outcomes.

The role requires hands-on AI expertise, strong stakeholder engagement, and ability to lead cross-functional teams through feasibility studies, pilots and

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