Description

* Shape the organization's AI and data strategy
* Work in a global, forward-thinking environment

## About Our Client ##

Company based in Geneva

## Job Description ##

**Data Architecture**

* Define and implement the enterprise data architecture vision across on-prem and cloud platforms, evolving beyond traditional Oracle-based setups.
* Transform current data teams by promoting modernization, automation, and reduced custom coding in favor of scalable, industrialized solutions.
* Guide the transition toward externalized development (nearshoring/offshoring) and oversee delivery quality, alignment, and compliance.



**AI & Data Intelligence Enablement**

* Design and drive AI-enablement frameworks, including semantic search, LLM integration, RAG pipelines, knowledge assistants, and document intelligence.
* Introduce and pilot emerging AI technologies (vector stores, graph databases, embeddings, retrieval frameworks) with hands-on prototype validation.



**Collaboration & Implementation**

* Serve as the main point of contact for data initiatives (Data Hub, Self-Service Analytics, RAG-based applications)
* Coordinate with nearshore external development teams, validate deliverables, and oversee adherence to architectural standards.
* Communicate effectively across business, technical, and leadership stakeholders to translate concepts into actionable value.



**Governance & Compliance**

* Define and enforce governance frameworks including glossary, cataloging, and metadata management
* Ensure consistency across data assets regardless of platform: Oracle, Azure, AWS, Power BI, or other cloud ecosystems.
* Act as key liaison with security, legal, and compliance teams to align with evolving data and AI regulations.



**Continuous Improvement**

* Stay informed on emerging technologies in data and AI
* Lead initiatives to improve data quality, accessibility, and readiness for AI workloads

## The Successful Applicant ##

* Strong background in data architecture or data engineering, with proven experience in data modernization and exposure to AI-focused systems
* Hands-on experience with cloud-based data platforms (AWS, Oracle Cloud Infrastructure)
* Very good understanding of data warehouse concepts, data governance, metadata management, and stewardship practices.
* Exposure to AI technologies: LLM integration, embeddings, RAG, semantic search, knowledge graph, vector databases (Neo4j, Pinecone, FAISS, etc.)
* Hands-on experience in at least one AI-related pilot or proof of concept (not just theoretical).
* Experience managing or supervising external development partners (nearshore/offshore), including quality, delivery, and alignment.
* Strong communication, mentoring ability, and capability to drive change within technical teams.
* Strategic mindset, curiosity, and strong desire to innovate and build scalable data and AI capabilities for the future.

## What's on Offer ##

* International environment
* Attractive package

Quote job ref

JN-112025-6881062

Job Function

Information Technology

Specialisation

IT Data Analysis

Industry

Not For Profit

Location

Geneva

Contract Type

Permanent

Job Reference

JN-112025-6881062

Job Nature

Home Office