Banking Transformation Director | AI-Driven Growth

Banking Transformation Director | AI-Driven Growth

Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
NTT DATA

At a Glance

  • Tasks: Lead major banking transformations and shape innovative AI-driven solutions.
  • Company: NTT DATA, a leader in banking consulting with a focus on growth.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional development.
  • Other info: Join a dynamic team with a focus on innovation and regulatory resilience.
  • Why this job: Make a significant impact in the banking sector with cutting-edge AI technologies.
  • Qualifications: Proven leadership experience and strong client relationship skills.

The predicted salary is between 72000 - 88000 Β£ per year.

NTT DATA in the UK is seeking a Banking Consulting Director to originate and lead major transformation engagements across the banking sector.

The role demands senior leadership, client credibility with C-suite executives, and a track record in growth and delivery of complex programs.

You will shape propositions, manage end-to-end client journeys, and build repeatable IP in AI-enabled banking, payments modernization, and regulatory resilience.

Hybrid UK work pattern in London or Birmingham. #J-18808-Ljbffr

Banking Transformation Director | AI-Driven Growth employer: NTT DATA

At NTT DATA, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages creativity in the rapidly evolving field of AI/ML security. Located in a vibrant tech hub, we offer competitive benefits and a dynamic workplace where your contributions directly impact the future of secure AI systems.

NTT DATA

Contact Details:

NTT DATA Recruitment Team

We think you need these skills to ace Banking Transformation Director | AI-Driven Growth

Problem-Solving Skills
Communication Skills
Python
SQL
Data Engineering
ETL/ELT Processes
Data Pipeline Development