Remote Lead, Finance Analytics & AI Enablement

Remote Lead, Finance Analytics & AI Enablement

Full-Time 80000 - 120000 Β£ / year (est.) No working from home possible
Drive Capital

At a Glance

  • Tasks: Lead finance analytics and AI initiatives, optimising data strategies and managing a small team.
  • Company: Join Hopper, a leading travel tech company focused on innovation.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Why this job: Shape the future of finance with cutting-edge AI and data solutions.
  • Qualifications: 15+ years in travel or SaaS, strong SQL/Python/GCP skills, and AI model experience.

The predicted salary is between 80000 - 120000 Β£ per year.

Hopper is seeking a Lead, Finance Analytics & Enablement AI/ML to own the data warehouse, BI, GCP/AI optimization and Finance AI strategy.

You will partner with executives and manage a small team to deliver a centralized, trusted data backbone across finance and business units.

The role demands 15+ years in travel or Saa S, strong SQL/Python/GCP skills, and experience with LLM systems and AI model evaluation.

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Remote Lead, Finance Analytics & AI Enablement employer: Drive Capital

Hopper is an exceptional employer that fosters an entrepreneurial culture, encouraging innovation and risk-taking within small, dynamic teams. With a competitive salary, generous benefits including 100% coverage of employee insurance premiums and unlimited paid time off, employees are empowered to thrive both personally and professionally. The collaborative, low-process environment allows staff backend software engineers to take ownership of impactful projects while leveraging cutting-edge AI tools, making it a rewarding place to grow your career in the heart of the tech industry.

Drive Capital

Contact Details:

Drive Capital Recruitment Team

We think you need these skills to ace Remote Lead, Finance Analytics & AI Enablement

Data Warehouse Management
Business Intelligence (BI)
Google Cloud Platform (GCP)
Artificial Intelligence (AI) Strategy
Machine Learning (ML)
SQL
Python