Director Of AI Data Platform

The Company and Our Mission Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting-edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact. Our teams bring deep expertise in AI-driven platforms, secure API architectures, and cloud-native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies — from strategy and discovery through to full product delivery — helping turn complex challenges into measurable outcomes. With engineering hubs across EMEA and LATAM, and long-term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology — you will drive business impact and grow your career alongside industry leaders. We are looking for a Director of AI Data Platform to help shape the foundational data infrastructure powering next-generation AI solutions. The Project: You will lead the development of a core AI Data Readiness platform that transforms fragmented enterprise data into clean, governed, and discoverable assets ready for AI consumption. This is a strategic, high-impact role where you will serve as the primary architect of the data-to-AI lifecycle, ensuring both structured and unstructured data assets are AI-ready from day one. You will oversee the end-to-end processing lifecycle—including ingestion, parsing, and enrichment—to guarantee the accuracy and governance of all published assets. What You Will Do: Unstructured Data & Indexing Layer (Core Ownership) - Lead the development of pipelines for unstructured data sources, including document parsing, OCR, and text normalization - Own the indexing strategy beyond traditional SQL storage, architecting structures optimized for LLM consumption - Design and oversee semantic chunking, embedding strategies, and hybrid search across Vector and Graph architectures - Establish metadata extraction protocols to ensure high-fidelity knowledge capture for internal and client use Data Ingestion & Standardization - Define standards and tooling for ingesting data from client systems (batch and streaming) - Build reusable connectors and canonical schemas to eliminate redundant, project-specific custom work Data Quality & Governance - Implement Data Contracts with upstream systems and downstream consumers to guarantee data integrity - Establish automated validation gates for completeness, consistency, anomaly detection, and drift monitoring - Ensure “Governance by Default,” including PII detection/redaction, encryption, and audit trails for GDPR and AI Act compliance Operational Excellence - Define and maintain SLAs/SLOs for ingestion pipelines (freshness, uptime, failure rates) - Optimize cloud-native infrastructure costs and implement robust monitoring and incident playbooks Strategic Stakeholder Management (Dual Focus) - Architect and manage the data infrastructure powering operational efficiency and internal IP - Serve as the lead architect for enterprise customers, designing high-performance AI data readiness strategies aligned with business goals Leadership & Delivery Enablement - Lead and scale a specialized team of data and platform engineers - Provide documentation, standards, and self-service capabilities for cross-functional teams What You Will Bring: - 10+ years of experience in data-heavy engineering or platform environments - 2+ years leading platform or data engineering teams - Proven track record of delivering reusable internal data capabilities rather than one-off pipelines - Strong software engineering foundation with a platform mindset - Advanced Database Expertise - Mandatory experience with Vector Databases such as Pinecone, Milvus, or Weaviate - Proven ability to structure enterprise data for LLMs, including chunking, enrichment, embedding, and relationship mappingDeep expertise in SQL, ETL/ELT, and data modeling - Strong experience with parsing, OCR, metadata enrichment, and unstructured pipelines - Experience with cloud-native architectures (Containers, IaC) - Strong operational mindset across monitoring, alerting, and cost management - Strong proficiency in LLM concepts and AI-ready data design Nice to Have: - Knowledge graph design and hybrid retrieval systems - Experience advising enterprise customers on AI transformation - Background in highly regulated industries (finance, healthcare, energy) What We Offer: - 100% Remote Work - WFH allowance: Monthly financial support for remote working - Career Growth: Established career development program with 360º feedback to support progression - Training: Weekly allocated time for learning, including online courses (Pluralsight, Educative.io), English classes, books, conferences, and events - Mentoring Program: Opportunities to mentor, be mentored, or both - Zartis Wellbeing Hub (Kara Connect): Access to mental health professionals, nutritionists, physiotherapists, fitness coaches, and wellbeing webinars - Multicultural working environment: Tech events, webinars, online team-building activities, and company celebrations