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The Role
Leads the design, modernization, and governance of enterprise data platforms, pipelines, integrations, and analytical reporting solutions. Provides architecture guidance, technical mentorship, and engineering leadership while enabling cloud modernization, data quality, lineage, observability, and cost optimization. Builds semantic data layers and governed data assets supporting Generative AI, LLM, RAG, agentic AI, and enterprise knowledge management. Partners with business and technology teams to deliver secure, compliant, scalable solutions.
Summary Generated by Built In
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:
28 Sep 2026
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
#BI-Hybrid
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
- 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
- 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)
- 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
28 Sep 2026
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
#BI-Hybrid
Skills Required
- 5+ years of quantitative analytics experience or equivalent demonstrated through work experience, training, military experience, or education
- 5+ years of experience building and supporting large-scale data pipelines, data integration frameworks, and data platforms
- 5+ years of solution engineering experience applying mathematical approaches to technical design
- Bachelor's degree or higher in mathematics, statistics, engineering, physics, economics, computer science, or another quantitative discipline
- Data engineering experience or equivalent experience, training, military service, or education
- Experience 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
- Hands-on knowledge of SQL Server database design, development, and optimization
- Experience designing and developing enterprise-scale data pipelines and data integration solutions
- Experience with data modeling, data warehousing, ETL/ELT processes, and data pipeline orchestration
- Programming and database experience with Python and SQL Server for data integration, transformation, and analytics
- Experience building APIs, microservices, and event-driven architectures
- Knowledge of data quality, governance, metadata management, and data lifecycle practices
- Experience leveraging AI-assisted engineering tools and practices
- Experience developing and deploying cloud-native solutions using OpenShift Container Platform
Wells Fargo Compensation & Benefits Highlights
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Healthcare Strength — Health coverage begins on day one with comprehensive medical, dental, and vision options, and the company subsidizes a substantial share of premiums for U.S. employees (varying by compensation band).
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Retirement Support — A robust 401(k) program includes an employer match for eligible employees, with specifics laid out in plan materials and filings.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for eligible primary caregivers, alongside fertility coverage, adoption/surrogacy reimbursement, and lactation support.
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The Company
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”
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Wells Fargo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
