Vendor Performance & Data Center Operations Lead

Vendor Performance & Data Center Operations Lead

Full-Time 60750 - 74250 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead vendor relationships and drive performance improvements using data analytics.
  • Company: Bloomberg, a global leader in financial technology.
  • Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Join a collaborative team in a fast-paced, innovative company.
  • Why this job: Make a real impact by optimising vendor performance in a dynamic environment.
  • Qualifications: Experience in vendor management and strong analytical skills.

The predicted salary is between 60750 - 74250 Β£ per year.

Bloomberg is seeking an experienced Vendor Services leader to manage critical vendor relationships supporting Engineering operations in the TI Vendor Services team in London.

You will lead governance forums, performance reviews, and escalations to resolve issues while maintaining strong stakeholder and supplier relationships.

Leveraging data analytics, you will monitor performance, identify trends, and assess risks to drive continuous improvement across vendor portfolios and service delivery.

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Vendor Performance & Data Center Operations Lead employer: Bloomberg

Bloomberg News offers an exciting opportunity for a Freelance Hair & Make-Up Assistant in the vibrant city of London, where creativity meets fast-paced news production. Our inclusive work culture fosters collaboration and innovation, providing you with the chance to grow your skills in a dynamic environment while working alongside industry professionals. With a commitment to excellence and a focus on employee development, Bloomberg is an exceptional employer for those seeking meaningful and rewarding experiences in the world of media.

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Contact Details:

Bloomberg Recruitment Team

We think you need these skills to ace Vendor Performance & Data Center Operations Lead

Communication Skills
Problem-Solving Skills
SQL
Automation
Attention to Detail
Data Governance
Data Engineering