Director - U.S. Data Strategy and Architecture

GRIFOLS, S.A.NC-RTP, CA
Hybrid

About The Position

The Director, U.S. Data Strategy and Architecture, leads the design and governance of data systems supporting the U.S. organization. This hybrid strategic and hands‑on role is responsible for data modeling, integration patterns, platform architecture, and the technical standards that guide data engineering and analytics. The Director collaborates with business leaders, technical teams, and global partners to ensure scalable, secure, and well‑governed data capabilities for operational and analytical needs.

Requirements

  • Expert knowledge of modern data architecture, ETL/ELT frameworks, and modeling methodologies.
  • Strong SQL, Python, Spark, and cloud platform experience.
  • Understanding of data governance, lineage, metadata, and access control.
  • Excellent communication skills for both technical and non‑technical audiences.
  • Ability to manage multiple initiatives and influence stakeholders.
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field required; Master’s preferred.
  • Typically requires a minimum of 10 years of related experience, including significant experience managing multiple departments, units, or divisions.

Responsibilities

  • Define U.S. data architecture standards, patterns, and data modeling approaches.
  • Lead design of end‑to‑end data platforms, including storage, processing, and integration layers.
  • Partner with U.S. leaders and global teams to align architectural decisions with business goals.
  • Support long‑term planning and technical roadmaps for data platforms and analytics capabilities.
  • Provide architectural oversight across U.S. analytics, engineering, CRM, and data governance teams.
  • Build and optimize data models, transformations, and data integration workflows.
  • Conduct hands‑on prototyping, technical troubleshooting, and performance tuning.
  • Create reusable templates for engineering teams and lead complex data design sessions.
  • Support development of semantic layers, curated datasets, and standardized modeling frameworks.
  • Mentor data engineers, architects, and analytics engineers.
  • Communicate architecture decisions to business stakeholders and IT leadership.
  • Develop and maintain architecture documentation, standards, and solution blueprints.
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