Sayee G.

About Sayee G.

I am a data and AI leader with deep experience building and modernizing enterprise-scale data platforms for complex organizations. My work sits at the intersection of business strategy, data architecture, and execution—helping organizations turn data into reliable, decision-ready assets.Over the years, I’ve led large data and analytics transformations across cloud platforms, modern data architectures, and AI-driven solutions. I’ve worked closely with executive leadership, product teams, and engineering organizations to design platforms that scale, govern data effectively, and support advanced analytics and AI use cases.In my current role, I focus on setting enterprise data strategy, modernizing legacy analytics ecosystems, and enabling teams to move faster with trusted, well-designed data foundations. I’m particularly passionate about simplifying complex data landscapes, reducing friction between teams, and aligning data initiatives directly to business outcomes.I enjoy mentoring architects and engineers, building strong technical leadership teams, and helping organizations navigate the practical realities of large-scale transformation—not just the theory.I’m always interested in conversations around enterprise data strategy, cloud platforms, AI adoption, and building high-performing data organizations.

Experience

1. Executive Director Principal Ai & Data Architect Consumer Technology

   Wells Fargo

   Jun 2025 — Present · Phoenix, AZ, US

   Lead enterprise data architecture for the entire Consumer Lending portfolio, covering Home Lending, Credit Cards, Credit Services, Personal Lending, and Merchant Services.Serve as the chief data architect for Consumer Lending, owning architectural direction, standards, and long-term data strategy across the domain.Created and institutionalized the Consumer Lending data reference architecture, establishing the foundational patterns for data ingestion, modeling, storage, governance, and consumption across platforms.Provide architectural leadership and oversight to multiple data and solution architects through a dotted-line model, ensuring consistency and alignment across programs and delivery teams.Drive modernization of complex, legacy data ecosystems toward scalable, cloud-native architectures that support analytics, regulatory reporting, and AI use cases.Define enterprise data modeling and integration standards to reduce duplication, improve data quality, and accelerate delivery across Consumer Lending initiatives.Act as a strategic advisor to senior business and technology leaders on architectural trade-offs, platform consolidation, and data platform investment decisions.Partner closely with engineering teams to translate reference architecture and strategy into executable designs, reducing friction between architecture and implementation.Collaborate with risk, security, and compliance teams to ensure data architectures meet regulatory and control requirements while enabling innovation.Mentor senior architects and build strong architectural leadership capabilities across the Consumer Lending organization.

Education

• Koneru Lakshmaiah College of Engineering

  B.Tech

  1992 — 1996

• Indian Institute of Technology, Kanpur

  M.Tech, Statistics

  1996 — 1998