Enterprise Data and AI Architecture Leader - PIMCO

We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals. We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance. You Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning. Love solving complex real-world business problems. Recognize that cross-functional collaboration is a core component of success for the team. Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs. Have become a stronger engineer by making mistakes and learning from them. Are a doer, someone who wants to grow their career and gain experience across technologies and business functions. We Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued. Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams. Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate. Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion. Embrace knowledge sharing through lunch-and-learns, demos, and technical forums. Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions. JOB DESCRIPTION We are seeking an experienced Data and AI Architecture Leader to lead our strategic data architecture initiatives across PIMCO\’s enterprise. This role will be instrumental in designing and implementing a robust data ecosystem that supports business-wide processes, with a focus on cloud migration, AI enablement, and digital transformation. You will play a key role in our strategic cloud migration initiative, helping transform our enterprise data architecture to a modern, cloud-native ecosystem. The successful candidate will lead efforts to streamline our data processes, improve data quality and consistency, and enable more efficient analytical capabilities across the organization. Additionally, you\’ll be instrumental in building an AI-ready data foundation that allows us to leverage machine learning and artificial intelligence to enhance business decision-making across all domains. REQUIREMENTS 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 PREFERRED CERTIFICATIONS Cloud platform certifications (AWS Certified Solutions Architect, Azure, GCP) Enterprise Architecture certifications (TOGAF, Zachman) Data Management certifications (CDMP, DAMA) Project/Program Management certifications (PMP, Prince2, Agile/Scrum) AI/ML certifications or specialized training TECHNICAL SKILLS 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 risk systems and methodologies Programming knowledge (Python, SQL, etc.) DevOps and CI/CD principles Knowledge graph and semantic web technologies Machine learning operations (MLOps) AI-focused data catalog tools Schema registry and metadata management systems Feature store architecture for machine learning PIMCO follows a total compensation approach when rewarding employees which includes a base salary and a discretionary bonus. Base salary is the fixed component of compensation that is determined by core job responsibilities, relevant experience, internal level, and market factors. The discretionary bonus is used to award performance and therefore is determined by company, business, team, and individual performance. Salary Range: $ 265,000.00 – $ 305,000.00 Equal Employment Opportunity and Affirmative Action Statement PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws. Applicants with Disabilities PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at 949-720-7744 and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.41bf1e1f-b16b-4260-a40a-17c77a06fd15