AI-Driven Resource Strategy Lead – Advisory in London

AI-Driven Resource Strategy Lead – Advisory in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Grant Thornton UK

At a Glance

  • Tasks: Lead strategic resourcing and optimise utilisation across the business unit.
  • Company: Join Grant Thornton UK, a leading advisory firm with a collaborative spirit.
  • Benefits: Competitive salary, mentoring opportunities, and a chance to shape the future of resource planning.
  • Other info: Dynamic work environment with opportunities for professional growth and development.
  • Why this job: Make a real impact by aligning resources with innovative projects and client needs.
  • Qualifications: Experience in resource planning and strong leadership skills required.

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

Grant Thornton UK is seeking a Resource Planning Manager within Advisory to lead the strategic resourcing for the business unit across offices nationwide.

You will forecast needs, optimise utilisation, and work with senior leaders to align resources with the firm’s pipeline and plan.

You will manage budgets, mentor junior staff, and collaborate with IS, Training, Recruitment and Finance to deliver data-driven MI and risk management for client accounts.

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AI-Driven Resource Strategy Lead – Advisory in London employer: Grant Thornton UK

Grant Thornton (UK) is an exceptional employer that prioritises employee well-being and professional growth, offering flexible working arrangements and a range of family-friendly benefits. With a strong focus on a cloud-first strategy and a collaborative work culture, employees are empowered to lead innovative projects while enjoying a supportive environment that fosters career development.

Grant Thornton UK

Contact Details:

Grant Thornton UK Recruitment Team

We think you need these skills to ace AI-Driven Resource Strategy Lead – Advisory in London

Resource Planning
Forecasting
Utilisation Optimisation
Budget Management
Mentoring
Collaboration
Data-Driven Decision Making