Data Management & AI Strategy Lead in Nottingham

Data Management & AI Strategy Lead in Nottingham

Nottingham Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Capital One (Europe) plc

At a Glance

  • Tasks: Lead data management and AI strategy to enhance operations and drive data initiatives.
  • Company: Join Capital One Europe, a leader in innovative financial solutions.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on developing your skills.
  • Why this job: Make a real impact by advancing data governance and AI integration.
  • Qualifications: Experience in data management and a passion for AI technologies.

The predicted salary is between 80000 - 100000 Β£ per year.

Capital One Europe seeks a Data Developer in Nottingham to advance data management and AI integration within our UK operations.

The role emphasizes governance, data quality, and scalable AI deployment across business units.

You will collaborate with analytics teams, lead data convergence initiatives, and drive end-to-end data initiatives while coaching colleagues to enhance data capabilities and value.

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Data Management & AI Strategy Lead in Nottingham employer: Capital One (Europe) plc

As a Data Enablement Manager at our Nottingham office, you'll join a forward-thinking team that prioritises data integrity and innovation. We offer a supportive work culture that champions professional growth through mentorship and collaboration, alongside competitive benefits such as a robust pension scheme, private medical insurance, and generous annual leave. Our commitment to diversity and inclusion ensures a welcoming environment where every associate can thrive and contribute to meaningful outcomes.

Capital One (Europe) plc

Contact Details:

Capital One (Europe) plc Recruitment Team

We think you need these skills to ace Data Management & AI Strategy Lead in Nottingham

Communication Skills
Problem-Solving Skills
SQL
Data Governance
Python
Automation
Data Engineering