AI Value & Technology Strategy Consultant

AI Value & Technology Strategy Consultant

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
WeAreTechWomen

At a Glance

  • Tasks: Help clients assess the value of tech investments and lead transformation initiatives.
  • Company: Accenture, a global leader in technology consulting.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Work in a collaborative environment with diverse projects across London.
  • Why this job: Join a dynamic team and shape the future of technology with innovative solutions.
  • Qualifications: Experience in cost analytics and a passion for AI and cloud technologies.

The predicted salary is between 60000 - 80000 Β£ per year.

Accenture is seeking a Technology/AI Value Consultant/Manager in London to help clients evaluate the value of enterprise technology investments.

You will work across London and other locations to build business cases and guide technology transformation initiatives.

The role requires leadership in cost optimisation and alignment with business objectives.

The candidate should combine cost analytics with a deep interest in Gen AI, Token Ops, and hybrid cloud, delivering strategic insights to CTO/CFO

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AI Value & Technology Strategy Consultant employer: WeAreTechWomen

At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides unparalleled opportunities for professional growth, with access to cutting-edge AI technologies and the chance to work alongside industry leaders. We are committed to your development, ensuring you have the resources and support needed to thrive in your role as a Senior Manager/Associate Director in AI architecture.

WeAreTechWomen

Contact Details:

WeAreTechWomen Recruitment Team

We think you need these skills to ace AI Value & Technology Strategy Consultant

Communication Skills
Python
SQL
Problem-Solving Skills
Data Engineering
ETL/ELT Processes
Data Pipeline Development