Enterprise Data and AI Architecture Leader at PIMCO

Newport Beach, California, United States

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Asset Management, FinanceIndustries

Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field
8+ years of experience in enterprise data architecture or systems design
Strong knowledge of data governance, lineage, and metadata management principles
Proven experience with large-scale data migration projects and cloud transformation
Deep understanding of enterprise architecture frameworks and methodologies
Experience with financial risk systems and analytics platforms
Strong technical background in database platforms (Oracle, Snowflake)
Understanding of cloud architecture principles (AWS preferred)
Excellent communication and stakeholder management skills
Ability to translate complex technical concepts for non-technical stakeholders
Cloud platform certifications (AWS Certified Solutions Architect, Azure, GCP) - preferred
Enterprise Architecture certifications (TOGAF, Zachman) - preferred
Data Management certifications (CDMP, DAMA) - preferred
Project/Program Management certifications (PMP, Prince2, Agile/Scrum) - preferred
AI/ML certifications or specialized training - preferred
Enterprise systems architecture
AWS and cloud technologies
Oracle and Snowflake platforms
Data modeling and design
Data lineage and governance tools
ETL/ELT processes
Big data and analytics platforms
Financial

Lead strategic data architecture initiatives across PIMCO's enterprise
Design and implement a robust data ecosystem that supports business-wide processes, with a focus on cloud migration, AI enablement, and digital transformation
Play a key role in the strategic cloud migration initiative to transform enterprise data architecture to a modern, cloud-native ecosystem
Lead efforts to streamline data processes, improve data quality and consistency, and enable more efficient analytical capabilities across the organization
Build an AI-ready data foundation to leverage machine learning and artificial intelligence for enhancing business decision-making across all domains