EY
Director - Technology Consulting - Geneva Hub Lead(m/w/x)
Full-timeOn-siteSenior
Grand-Lancy
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EYEY
(Senior) Manager - Technology Consulting - AI & Data(m/w/x)
Genf
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Leading business development and solution delivery for Swiss Financial Services clients, focusing on Agentic AI, intelligent automation, and data engineering. 10 years experience in banking, wealth & asset management, or insurance required. Regional client engagement and proposal preparation.
Requirements
- Higher education in data science, computer science, mathematics, natural sciences, or engineering
- Minimum 10 years of relevant experience in banking, wealth & asset management, or insurance
- Proven track record of leading transformation projects and managing teams
- Interest and experience in data-heavy Financial Services solutions such as CRM, CBS, KYC, Data Platforms
- Familiarity with AI domains such as Generative AI, LLMs, NLP, and Machine Learning
- Understanding of key programming and Data architecture concepts
- Extensive knowledge of the Microsoft technology stack, especially Azure services for data and AI
- Hands-on experience with data platforms such as Databricks, Palantir Foundry, Snowflake or Microsoft Fabric
- Excellent communication skills, bridging IT and business stakeholders
- Flexible and proactive mindset, strong problem-solving abilities
- Ability to perform in collaborative, cross-functional team environments
- Full professional proficiency in English and French; additional languages are a plus
- Willingness to travel within Switzerland and occasionally abroad
Tasks
- Lead business development in AI and Data for the Romandie region
- Prepare client proposals and drive strategic initiatives
- Design and deliver AI-driven solutions for Swiss Financial Services clients
- Focus on Agentic AI, intelligent automation, and data engineering
- Implement impactful solutions for CRM, ERP, CBS, KYC, and Data Platforms
- Resolve clients' data challenges with scalable applications
- Lead project teams to deliver robust technical solutions
- Ensure scalability, security, and compliance with industry standards
- Mentor younger colleagues and contribute to knowledge sharing
- Conduct training and build a Data & AI knowledge base
- Collaborate with local and international EY teams for high-impact solutions
Work Experience
- 10 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- French – Business Fluent
Tools & Technologies
- Microsoft Dynamics
- Databricks
- Snowflake
- Palantir Foundry
- Microsoft Fabric
- Azure
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of EY and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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EYEY
(Senior) Manager - Technology Consulting - AI & Data(m/w/x)
Genf
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Leading business development and solution delivery for Swiss Financial Services clients, focusing on Agentic AI, intelligent automation, and data engineering. 10 years experience in banking, wealth & asset management, or insurance required. Regional client engagement and proposal preparation.
Requirements
- Higher education in data science, computer science, mathematics, natural sciences, or engineering
- Minimum 10 years of relevant experience in banking, wealth & asset management, or insurance
- Proven track record of leading transformation projects and managing teams
- Interest and experience in data-heavy Financial Services solutions such as CRM, CBS, KYC, Data Platforms
- Familiarity with AI domains such as Generative AI, LLMs, NLP, and Machine Learning
- Understanding of key programming and Data architecture concepts
- Extensive knowledge of the Microsoft technology stack, especially Azure services for data and AI
- Hands-on experience with data platforms such as Databricks, Palantir Foundry, Snowflake or Microsoft Fabric
- Excellent communication skills, bridging IT and business stakeholders
- Flexible and proactive mindset, strong problem-solving abilities
- Ability to perform in collaborative, cross-functional team environments
- Full professional proficiency in English and French; additional languages are a plus
- Willingness to travel within Switzerland and occasionally abroad
Tasks
- Lead business development in AI and Data for the Romandie region
- Prepare client proposals and drive strategic initiatives
- Design and deliver AI-driven solutions for Swiss Financial Services clients
- Focus on Agentic AI, intelligent automation, and data engineering
- Implement impactful solutions for CRM, ERP, CBS, KYC, and Data Platforms
- Resolve clients' data challenges with scalable applications
- Lead project teams to deliver robust technical solutions
- Ensure scalability, security, and compliance with industry standards
- Mentor younger colleagues and contribute to knowledge sharing
- Conduct training and build a Data & AI knowledge base
- Collaborate with local and international EY teams for high-impact solutions
Work Experience
- 10 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- French – Business Fluent
Tools & Technologies
- Microsoft Dynamics
- Databricks
- Snowflake
- Palantir Foundry
- Microsoft Fabric
- Azure
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of EY and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
EY
Industry
Consulting
Description
Das Unternehmen EY unterstützt Kunden bei der Schaffung neuer Werte und dem Aufbau von Vertrauen in die Kapitalmärkte.
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