Hiring: VP Data & Analytics β€” Drive Enterprise Data Transformation

Hiring: VP Data & Analytics β€” Drive Enterprise Data Transformation

Full-Time 81000 - 99000 Β£ / year (est.) Home office (partial)
Funding Circle

At a Glance

  • Tasks: Lead data transformation and strategy, directing teams in Data Engineering and Product Management.
  • Company: Funding Circle, a forward-thinking company based in London with a hybrid work model.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and enterprise-level data solutions.
  • Why this job: Shape the future of data and AI while making a significant impact on the business.
  • Qualifications: Proven leadership in data strategy and experience in data engineering.

The predicted salary is between 81000 - 99000 Β£ per year.

Funding Circle in London (Hybrid) seeks a seasoned VP Data to lead our data transformation and enterprise data strategy.

You will direct teams across Data Engineering, Data Platform, and Data Product Management, shaping the next phase of our data modernization and AI-native ambitions.

You’ll expand data foundations, define data products, and embed governance to accelerate product development and smarter commercial decisions.

This is a senior leadership role with broad impact. #J-18808-Ljbffr

Hiring: VP Data & Analytics β€” Drive Enterprise Data Transformation employer: Funding Circle

Funding Circle is an exceptional employer that fosters a collaborative and innovative work culture, particularly in our London office where hybrid working allows for flexibility and balance. We prioritise employee growth through mentorship opportunities and encourage the development of cutting-edge AI solutions, all while offering a competitive salary and comprehensive benefits that support your well-being and career advancement.

Funding Circle

Contact Details:

Funding Circle Recruitment Team

We think you need these skills to ace Hiring: VP Data & Analytics β€” Drive Enterprise Data Transformation

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