Executive Director - Data Scientist - Corporate and Commercial Banking

About this role:

In this role, you will leverage your strong expertise in Machine Learning and AI to extract insights from complex datasets and drive data-driven decision-making across Wells Fargo CIB business units. You will engage business stakeholders at the most senior level and collaborate with cross-functional teams to build and deploy descriptive, predictive, and generative capabilities to uncover actionable business insights.

This is a unique opportunity to be a member of the CB/CIB AI and Data Team, tackling our toughest and most exiting data science challenges across multiple divisions in Wells Fargo CB and CIB.

In this role, you will:

• •Advise leadership in developing objectives, plans, specifications, resources, and long-term goals for highly complex business and technical needs
• •Design and conduct highly complex analysis to identify and remediate data quality, integrity, process, and control gaps
• •Lead strategy and resolution of highly complex and unique challenges across multiple areas or the enterprise
• •Evaluate data quality metrics and audits to benchmark data quality
• •Provide vision, direction, and expertise to senior leadership on significant business solutions
• •Recommend remediation of process or control gaps aligned with management strategy
• •Serve as an advisor to leadership and represent clients in cross-functional governance groups
• •Partner companywide to coordinate solution design and remediation execution

Required Qualifications:

• •7+ years of data management, business analysis, analytics, or project management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• •Advanced degree (Master’s or PhD) in Computer Science, Mathematics, Statistics, Physics, Engineering or other relevant technical Fields

Desired Qualifications:

• •7+ years of financial or regulated industry experience in developing Machine Learning and Statistical Models from idea generation to objective formulation to implementation and deliverables with application to Markets and Banking
• •Proven industry experience in natural language processing and building Agentic AI Solutions for the business.
• •Strong understanding of statistical analysis, hypothesis testing, and experimental design
• •Proficient in programming languages and frameworks commonly used in data science, including advanced Python libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, LangChain, and LangGraph.
• •Experience with LLM fine-tuning, prompt engineering, and model evaluation
• •Advanced proficiency with SQL
• •Proven problem solver with strong attention to details and experience telling business stories using data
• •Excellent written and oral communication skills

Job Expectations:

• •This position is not eligible for Visa sponsorship
• •This position requires onsite presence at our New York office

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$191,000.00 - $305,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• •Health benefits
• •401(k) Plan
• •Paid time off
• •Disability benefits
• •Life insurance, critical illness insurance, and accident insurance
• •Parental leave
• •Critical caregiving leave
• •Discounts and savings
• •Commuter benefits
• •Tuition reimbursement
• •Scholarships for dependent children
• •Adoption reimbursement

Posting End Date:

16 Nov 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.

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.

c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.