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Manager - Technology Consulting, AI & Data (80-100%)

EY · Zurich

Nouveau
Senior 🇬🇧 English
Microsoft Dynamics CRM CBS KYC Databricks Snowflake Palantir Foundry Microsoft Fabric Azure ETL Generative AI LLM NLP

Description du poste

About the role

EY's Technology Consulting practice in Zurich (FSO) is looking for a manager to lead business development and solution delivery in AI and Data for the Financial Services sector. The role is full-time (80-100%) and sits within a team covering AI & Data, Cyber Security, Technology Strategy and Transformation, and Finance Platforms.

Key responsibilities

  • Lead business development in AI and Data for Financial Services, including preparing client proposals and driving strategic initiatives.
  • Design and deliver AI-driven solutions focused on agentic AI, intelligent automation, AI enablement, data engineering and scalable application development.
  • Implement solutions that solve clients' data challenges, such as CRM, ERP, CBS, KYC and data platforms.
  • Lead project teams to build robust, scalable and secure technical solutions that meet financial industry standards.
  • Mentor younger colleagues, run trainings and build the team's Data & AI knowledge base.
  • Work with local and international EY teams across geographies and industries.

Required profile

  • Higher education in data science, computer science, mathematics, natural sciences or engineering.
  • At least 7 years of experience in banking, wealth & asset management or insurance, implementing data-heavy systems such as CRM and data platforms, in-house or as a consultant.
  • Proven track record of leading transformation projects and managing teams.
  • Full professional proficiency in English and German; willingness to travel within Switzerland and occasionally abroad.

Required skills

  • CRM (especially Microsoft Dynamics), CBS, KYC and data platforms (Databricks, Snowflake).
  • Familiarity with Generative AI, LLMs, NLP and machine learning.
  • Data architecture concepts such as data lake, lakehouse, medallion architecture, ETL and streaming.
  • Extensive knowledge of the Microsoft stack, especially Azure data and AI services, is a plus.
  • Hands-on experience with Databricks, Palantir Foundry, Snowflake or Microsoft Fabric is a plus.

Questions fréquentes

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Source : ats:successfactors

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EY

Zurich