AI Innovation Lead

6 days ago


Dublin, Dublin City, Ireland Deutsche Bank AG Full time

Deutsche Bank AG's Innovation team identifies, evaluates, and incubates cutting-edge technical innovation. The team is part of the Chief Strategy Office within the Technology, Data & Innovation (TDI) function and works globally with all business lines and infrastructure functions. A key focus area is leveraging Artificial Intelligence, Large Language Models (LLM), and other advanced data-driven technologies to create value for clients and the bank.

Job Summary

  • Leverage AI and data science expertise to drive innovation projects forward.
  • Lead technical teams in designing and building high-quality software products that utilize AI and advanced data-driven technologies.
  • Collaborate with cross-functional teams to identify, evaluate, and execute data- and AI-driven innovation projects.

About the Role

This role requires a seasoned leader with experience in applying AI, machine learning, and/or data science in business and academia. You will lead technical teams in developing production-grade software and have strong knowledge of Python and relevant data science or engineering frameworks.

Your Key Responsibilities

  • Design and develop high-quality software products that leverage AI and data-driven technologies.
  • Practice hands-on technical leadership, enabling and guiding your team of engineers.
  • Responsible for the technical delivery of innovation projects and act as a trusted advisor to your team and the bank.
  • Contribute to identifying and evaluating applications of these technologies by providing technical insight to your team and stakeholders across the bank.
  • Communicate technical concepts and results effectively to both technical and non-technical audiences.

You Will Thrive in This Role If

  • You are a natural leader with experience in managing technical teams.
  • You have a strong understanding of AI, machine learning, and data science concepts and their applications.
  • You are proficient in Python and relevant data science or engineering frameworks.
  • You can communicate complex technical concepts to both technical and non-technical audiences.


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