Beñat Galdós, author of Galde

[email protected]

Beñat Galdós

Founder & Data Governance and Products Lead

𝗖𝗼𝗻𝘁𝗮𝗰𝘁: [email protected]

Data Governance & Enterprise Data Products Lead specialized in Palantir Foundry delivery and CDO-level execution.

I design and operationalize data platforms that move beyond dashboards, building semantic layers and ontology-driven, governed data products embedded into core business operations.

Over the past years, I have led end-to-end delivery of enterprise data initiatives across energy, reinsurance, digital marketplaces and SaaS environments, acting as the bridge between Chief Data Officers and Data Directors, business stakeholders and engineering teams.

My focus is not only building data systems, but making them adoptable, governable and scalable.

𝗪𝗵𝗮𝘁 𝗜 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗱𝗼

Lead Data Governance operationalization programs.
Design enterprise data operating models.
Deliver Palantir Foundry-based operational applications.
Translate business workflows into ontology-driven data products.
Align data platforms with regulatory, compliance and security standards.
Enable adoption across asset management, finance, risk and operations teams.

𝗣𝗮𝗹𝗮𝗻𝘁𝗶𝗿 𝗙𝗼𝘂𝗻𝗱𝗿𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲

Hands-on Product & Delivery leadership within Palantir Foundry, including:

Ontology modeling & object design
Pipeline architecture & data integration
Operational app development (Workshop, Contour, Quiver)
Governance-by-design & RBAC implementation
Platform documentation & enablement
Cross-functional stakeholder alignment

I combine architectural ownership with execution capability, ensuring delivery velocity without compromising governance.

𝗗𝗮𝘁𝗮 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻

I operationalize governance frameworks into real systems, ensuring:

Data lineage & catalog integration
Data quality standards & monitoring
Role-based access control
Regulatory compliance alignment
Scalable data domain ownership

Governance is not documentation, it is embedded architecture.

𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀

Energy & Renewables
Reinsurance & Financial Services
Digital Marketplaces
SaaS & Technology
Public & R&D Institutions

I collaborate with organizations that need to:

Move from fragmented data initiatives to governed enterprise platforms
Deploy Palantir Foundry effectively at scale
Operationalize Data Governance beyond theory
Build data products aligned with executive decision-making

Security and sovereignty in RAG architectures: a deployment guide for private and hybrid cloud for enterprises.

Generative AI

Security and Sovereignty in RAG Architectures: Deployment Guide

Security and Sovereignty in RAG Architectures: A Deployment Guide for Private and Hybrid Cloud Environments Why securing a RAG system doesn’t follow the same playbook as securing a traditional application Quick Answer A RAG (Retrieval-Augmented Generation) architecture introduces risks that don’t exist in a traditional application: prompt injection through retrieved documents, information

August 7, 2026

Data Product vs Data Project: the paradigm shift needed to sustain enterprise LLM systems and generative AI applications.

Generative AI

Data Product vs. Data Project: The Paradigm for Sustaining LLMs

Data Product vs. Data Project: The Paradigm Shift Needed to Sustain Enterprise LLM Systems Why most generative AI applications expire shortly after the project that built them wraps up Quick Answer A Data Project is a time-boxed initiative that delivers a dataset or a pipeline for a specific use case and is

July 31, 2026

Multi-cloud data pipeline governance architecture with Databricks, Unity Catalog, and AWS Glue.

Data Governance

Data Pipeline Governance Architecture in Multi-Cloud Environments

Data Pipeline Governance Architecture: Automating Metadata in Multi-Cloud Environments How to stop governance from depending on someone filling in a field by hand Quick Answer Metadata automation in data pipelines means capturing lineage, sensitivity classification, quality, and ownership as part of the pipeline’s own execution, instead of as manual documentation

July 24, 2026