About This Role

Wells Fargo is seeking an experienced Lead Quantitative and Data Analytics Specialist to lead the design, development, and modernization of data platforms supporting Enterprise Finance Analytical Reporting within our Enterprise Functions Technology (EFT) group. This role is responsible for providing technical leadership across data engineering initiatives, developing scalable data pipelines, enabling analytical reporting, and creating AI-ready data architectures.

The successful candidate will lead a high-performing engineering team and collaborate closely with business stakeholders, architects, data scientists, AI engineers, and product owners. The role requires deep technical expertise in data engineering, cloud-native architectures, software engineering best practices, and AI-enabled development frameworks.

As the organization expands its adoption of Generative AI and Agentic AI capabilities, this role will also be responsible for building data foundations that support semantic search, Retrieval-Augmented Generation (RAG), AI agents, and enterprise knowledge management solutions.

In this role you will:

• Lead the design, development, and modernization of enterprise data, analytics, and reporting platforms
• Provide technical leadership, architecture guidance, and mentorship while promoting engineering best practices and AI-assisted development
• Design and build scalable data pipelines, data products, and batch, streaming, and event-driven integration solutions
• Develop governed, reusable data assets and improve data quality, lineage, observability, and platform performance
• Support cloud modernization initiatives and the migration of legacy data solutions
• Build data architectures and semantic data layers that enable advanced analytics, Generative AI, LLM, and RAG capabilities
• Enable Agentic AI and Context Engineering through discoverable, metadata-driven, and well-governed data assets
• Partner with business, technology, and AI teams to deliver scalable, secure, and compliant data and analytics solutions
• Establish governance standards, ensure adherence to security and regulatory requirements, and drive operational efficiency and cost optimization

Required Qualifications:

• 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience building and supporting large-scale data pipelines, data integration frameworks, and data platforms
• 5+ years of solution engineering experience, specifically applying mathematical approaches to technical design
• Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Data Engineering experience or equivalent demonstrated through work experience, training, military service, or education
• Experience working in Agile, Scrum, or Kanban environments
• Proficiency with CI/CD and DevOps tools, including GitHub and Harness
• Experience developing solutions using Python
• Experience with Devin, Claude, Cursor, Wisdom AI, Rogo, or Tachyon
• Strong hands on knowledge with SQL Server database design, development, and optimization
• Knowledge and hands on experience designing and developing enterprise-scale data pipelines and data integration solutions
• Experience designing and developing scalable data engineering solutions, including data modeling, data warehousing, ETL/ELT processes, and data pipeline orchestration
• Strong programming and database experience with Python and SQL Server for data integration, transformation, and analytics
• Experience building APIs, microservices, and event-driven architectures to support enterprise data platforms and applications
• Knowledge of data quality, data governance, metadata management, and data lifecycle best practices
• Experience leveraging AI-assisted engineering tools and practices, including GitHub Copilot, prompt engineering, AI-driven code generation, testing, and documentation
• Experience developing and deploying cloud-native solutions using OpenShift Container Platform (OCP)

Job Expectations:

• This position offers a hybrid work schedule - ability to work in office
• This position is not eligible for Visa sponsorship
• Relocation assistance is not available for this position

Posting End Date: 

*Job posting may come down early due to volume of applicants.