Director - Cloud, Data & AI (CD&AI) - Generative AI — PwC Switzerland
- Location
- Zürich
- Contract
- other
- Posted
- 253 days ago
Role overview
You manage engagements with clients and PwC teams, serving as a key leader within our organization.
Act as a trusted advisor to clients, helping them navigate the complexities of AI adoption Lead workshops and discussions with clients or internal stakeholders to identify AI use cases, understand business challenges, and align AI tailored solutions.
Facilitate your clients' advancement in digitization by gathering their requirements and proposing state-of-the-art solutions.
Anticipate and address potential risks associated with AI implementation, such as data privacy, security, and model performance.
Implement and continuously expand your knowledge of best practices in technology, data engineering, analytics, and consulting approach.
A university master's degree or PhD in fields such as artificial intelligence, computer science, physics, mathematics, or any natural sciences or engineering discipline is preferred.
Over 10 years of work experience evidencing experience with artificial intelligence technologies (such as machine learning, deep learning, advanced statistics and modelling) and more recently in Generative AI (including Agentic AI, GenAI-related cloud technologies, ML engineering).
As experienced hire, you have a solid track record in delivering and overachieving on your projects and you can rely on your network within AI space.
Proven experience in AI leadership roles, with a track record of delivering impactful AI solutions.
Consulting experienced is considered a plus.
Company and context
- You manage engagements with clients and PwC teams, serving as a key leader within our organization.
- Act as a trusted advisor to clients, helping them navigate the complexities of AI adoption Lead workshops and discussions with clients or internal stakeholders to identify AI use cases, understand business challenges, and align AI tailored solutions.
- Facilitate your clients' advancement in digitization by gathering their requirements and proposing state-of-the-art solutions.
- Anticipate and address potential risks associated with AI implementation, such as data privacy, security, and model performance.
- Implement and continuously expand your knowledge of best practices in technology, data engineering, analytics, and consulting approach.
- A university master's degree or PhD in fields such as artificial intelligence, computer science, physics, mathematics, or any natural sciences or engineering discipline is preferred.
- Over 10 years of work experience evidencing experience with artificial intelligence technologies (such as machine learning, deep learning, advanced statistics and modelling) and more recently in Generative AI (including Agentic AI, GenAI-related cloud technologies, ML engineering).
- As experienced hire, you have a solid track record in delivering and overachieving on your projects and you can rely on your network within AI space.
- Proven experience in AI leadership roles, with a track record of delivering impactful AI solutions.
- Consulting experienced is considered a plus.
