Senior Data & GenAI Architect — CoE Leader (Zurich)

LinkedIn Job Wrapping

Zürich

Hybrid

CHF 150,000 - 230,000

Full time

2 days ago
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Benefits offered by this job

Highly competitive compensation

Job summary

Artefact in Zurich seeks a Senior Data & AI Architect blending business strategy with technology across Data and GenAI. You will design the Data & GenAI CoE operating model, define target architecture, and steer data products from demand through rollout.

You will collaborate with clients to shape end-to-end data platforms on cloud, evaluate make-or-buy options, and ensure governance and security align with enterprise standards.

Qualifications

  • At least 4 years of professional IT experience.
  • At least 2 years on AI/GenAI, Data Mesh and requirements gathering.
  • Consulting experience, ideally in strategy consulting, with system integrator/delivery firm.
  • Hands-on experience designing operating models, Data/AI organizations or CoEs.
  • Experience with make-or-buy analyses, vendor selection or target architecture definition.
  • Excellent written and spoken English.

Responsibilities

  • Define the Data/GenAI operating model and CoE scope, governance, and engagement.
  • Design target data platform architecture on cloud (Azure, AWS, GCP) and Databricks; include GenAI components and LLMOps.
  • Run make-or-buy analyses, vendor evaluations, and final recommendations with TCO.
  • Ensure architecture, security and data governance align with enterprise standards and operating model.
  • Gather functional requirements and translate into data products with owners, SLAs and KPIs.
  • Review SI solutions and oversee project progress, quality and risks.

Skills

IT experience
AI/GenAI
Data Mesh
CoE design
Vendor selection
Cloud architecture
Databricks
Business cases
TCO
English fluency

Job description

Artefact in Zurich seeks a Senior Data & AI Architect blending business strategy with technology across Data and GenAI. You will design the Data & GenAI CoE operating model, define target architecture, and steer data products from demand through rollout.

You will collaborate with clients to shape end-to-end data platforms on cloud, evaluate make-or-buy options, and ensure governance and security align with enterprise standards.

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