About this role:

Wells Fargo is seeking a Lead Data Engineer in Cybersecurity as part of Identity Access Management. Learn more about career areas and business divisions at wellsfargojobs.com

This role sits at the intersection of cybersecurity, data science, machine learning, and AI. The successful candidate will develop intelligent solutions that improve access governance, identify anomalous behavior, automate entitlement decisions, and generate actionable insights across Wells Fargo's Identity and Access Management ecosystem.

In this role, you will:

• Lead complex initiatives with broad impact and act as key participant in large scale software planning for the Identity and Access management.
• Design, develop, and run tooling to discover problems in data and applications and report the issues to engineering and product leadership
• Apply knowledge of statistical and data science methods and techniques to business problems relating to Identity and Access Management.
• Serve as a subject matter expert on ML, AI and the application of mathematical and statistical techniques to large datasets.
• Design, support and operate data pipelines, data models, dashboards, and API integrations to deliver real-time and batch analytics use cases.
• Design and conduct experiments, statistical analyses, and hypothesis testing to evaluate proposals in support of controls, policies, and operational processes.
• Build AI-powered capabilities that identify inappropriate access, recommend entitlements before users request them, and detect anomalous behavior across millions of identity events.
• Lead other IAM team members including operations, onboarding, initiatives and engineering teams as well as line of business and lines of defense teams to understand analytical needs and translate them into technical solutions.
• Establish and implement engineering and analytical best practices when developing solutions.
• Develop solutions in accordance with established security, privacy, model risk, and regulatory guidelines.
• Develop, test, deploy and support of ML-enabled analytical solutions and guide other members of the team in ML, AI and statistical techniques in driving adoption of AI/ML across IAM.
• Assist in monitoring model health, reliability, and drift to ensure continuous improvement and required remediation.
• Demonstrate proficiency in using AI‑assisted development and analysis tools (e.g., GitHub Copilot and approved code‑centric agents)
• Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
• Apply strong technical judgment when validating and integrating AI‑assisted outputs into solutions
• Understand and account for model limitations, security risks, and operational considerations
• Apply AI responsibly in development and production environments
• Ensure AI usage aligns with security, compliance, privacy, and ethical standards

Required Qualifications:

• 5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience with Python data science libraries such as Pandas, NumPy, and Scikit-Learn, together with exposure to a deep learning framework such as TensorFlow or PyTorch

Desired Qualifications:

• Knowledge of Vertex AI, GCP environments, BigQuery and getting models into production on these platforms
• Knowledge of graph networks for anomaly detection (Neo4j)
• A learning mindset that keeps up-to-date with the latest developments in the field
• Knowledge of Github for code management, Power BI, Tableau, Alteryx
• Understanding of software engineering fundamentals including testing, debugging, code reviews etc is highly desirable
• Knowledge of the mathematical foundations of statistics, machine learning, and modern AI techniques.
• Strong understanding of model evaluation techniques, particularly for classification and clustering models including metrics such as precision, accuracy, F1-scores, confusion matrices, ROC curves etc.
• High level of comfort with the use of AI coding agents such as Github Copilot, Claude Code, Cursor, Devin or others with the ability to critically examine AI code for fitness for use.
• Familiarity with LLMs, RAG, and AI agents
• Strong SQL skills and ability to work with relational and analytical databases.
• Strong book-of-work management and organizational skills.
• Hands-on ability to manipulate data and tools to prototype and present solutions.
• Confident and self-motivated producer of original ideas and solutions, with sound judgment for when to escalate issues
• Strong written and verbal communicator with excellent presentation skills
• Ability to communicate complex technical concepts to colleagues and team members.
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or related field.

Locations: 

• 300 S Brevard, Charlotte, North Carolina 28202
• 401 Las Colinas Blvd W Bldg. A - Irving, TX 75039
• 550 S 4th St. Minneapolis, MN 55415
• 3075 Loyalty Cir. - Columbus, Ohio 43219

Posting Statements:

• Job posting may come down early due to volume of applicants. 
• Required location(s) listed above. Relocation assistance is not available for this position 
• Salary range is determined by location of the job.  May be considered for a discretionary bonus, Restricted Share Rights, or other long – term incentive awards. 
• This position is not eligible for visa sponsorship 
• This role is NOT eligible for 100% remote work

Pay Range
 

Posting End Date:

*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.