Leads the strategy, design, and governance of enterprise data architecture to enable scalable, secure, and high-quality data foundations across the organization.
Owns the definition and evolution of data architecture standards, information models, and data platform integration patterns that underpin analytics, AI, and operational systems.
Translates business and technology priorities into cohesive, AI-ready data architecture strategies.
Ensures alignment across data engineering, analytics, AI/ML, and enterprise platforms,
Establishes a modern, governed, and interoperable data ecosystem that supports enterprise-scale data, AI, and digital transformation initiatives.

Bachelor’s degree in computer science, Information Systems, Data Engineering, or related field.
10+ years of experience in data architecture, data engineering, or enterprise data management, including 4+ years of leadership.
Strong expertise in modern data architecture patterns (data warehouse, lakehouse, data mesh, real-time/streaming architectures) to enable scalable, AI-ready ecosystems.
Deep experience in data modeling (conceptual, logical, physical), semantic layers, and metadata management.
Proven experience designing and scaling enterprise data platforms in cloud environments (Azure, AWS, Snowflake, Databricks, etc.).
Strong understanding of data integration patterns (ETL/ELT, APIs, event-driven architectures).
Demonstrated ability to align data architecture with business strategy and deliver enterprise-scale outcomes.
Excellent stakeholder management, communication, and leadership skills in matrixed environments.

Senior Manager, Data and Information Architecture

Key skills