Description
As a Senior Consultant with a focus on AI Strategy and Transformation, you will be responsible for defined workstreams within strategic and transformative projects. You will combine strong consulting skills with a deep understanding of AI technologies and develop AI strategies and solutions for business challenges.
Your main responsibilities will include:
- Taking ownership of workstreams in AI, strategy, or transformation projects from structuring to implementation
- Collaborating with internal clients and senior management to develop and implement AI-related solutions
- Translating business challenges into concrete AI use cases and developing practical AI-powered solutions, including prototyping in low-code/no-code development environments
- Providing expertise in AI-related and classic strategy and transformation projects within the DBMC portfolio
- Leading junior team members and ensuring the quality of project results
To be successful in this role, you will need:
- Several years of experience in management consulting, AI transformation, or a similar field, ideally in the financial services sector
- An excellent academic degree (bachelor's, master's, or PhD) in a STEM field, data science, economics, or a related field
- Conceptual and practical understanding of generative AI, workflow automation, or agent-based workflows
- Experience in using AI tools effectively to increase productivity, optimize processes, and solve business challenges
- Strong analytical and conceptual skills, as well as a structured working style
- High level of independence, pronounced team orientation, and a high personal performance claim
- Experience in an international environment, e.g., through studies, internships, or professional activities abroad
- Fluent German and English language skills in writing and speaking
DBMC offers you:
- Collaboration on strategically relevant projects of Deutsche Bank in an international environment
- Regular rotation between projects with broad exposure across all business and infrastructure areas
- Structured career path with clearly defined development steps
- A steep learning curve through project-based learning and targeted, role-specific further education
- Active design of internal initiatives, e.g., in the areas of AI applications, knowledge management, and team culture
- Fixed location in the headquarters in Frankfurt am Main with a flexible, hybrid working model and low travel activity
- Fair and transparent regulations for compensating overtime
- A unique team culture characterized by regular after-work events, team offsites, and joint sporting activities