TL;DR

VP Data / Knowledge Platforms (AI): Building and scaling ontology-driven data and knowledge foundations, industrializing data pipelines, and establishing governance for %hirify_global%’s data assets. Focus on modernizing content management infrastructure and leveraging generative AI technologies, including LLM post-training, for analytical insights and narrative intelligence.

Location: Hybrid in Madrid, ES

Company

%hirify_global% is a global data and analytics business focused on the renewables, energy, and natural resources industries, providing insights to lead the transition to a sustainable future.

What you will do

Define and maintain %hirify_global%’s corporate ontology and energy knowledge graph.
Drive industrialization of data ingestion pipelines and ensure high-quality data integration.
Establish data governance, lineage, and quality frameworks for all data assets.
Oversee the architecture and evolution of the company’s content management systems, enabling AI-assisted authoring.
Lead initiatives applying LLMs and GenAI to enhance content creation, summarization, and synthesis.
Partner cross-functionally to align data, content, and AI strategies and champion data/AI literacy.

Requirements

15+ years of experience in data engineering, knowledge management, or digital content systems.
Proven track record leading large-scale data or CMS platform transformations.
Expertise in data governance, ontologies, knowledge graphs, and API-based data distribution.
Experience integrating LLMs and GenAI into data or content workflows.
Strong technical foundation in data and content architectures (e.g., Snowflake, lakehouse, headless CMS, vector databases, RAG frameworks).
Deep understanding of metadata standards, taxonomy management, and semantic enrichment.

Culture & Benefits

Inclusive and trusting work environment.
Customer-committed and future-focused approach.
Emphasis on curiosity and turning knowledge into action.