Lead Data Engineer - Data Scientist

Wells Fargo is seeking a Lead Data Engineer in Cybersecurity to support Identity Access Management (IAM). This role focuses on delivering AI/ML and data engineering solutions for access governance and anomaly detection, including the design of production-ready data pipelines, models, and analytics.

Location

• Minneapolis, MN (onsite)

Salary Range

USD 119,000 - 206,000 per year

About the Role

The Lead Data Engineer will participate in large-scale software planning for Identity and Access management and help build capabilities that identify inappropriate access, recommend entitlements prior to user requests, and detect anomalous behavior across millions of identity events. The position also includes applying statistical and data science methods to IAM business problems and supporting ML-enabled analytics in production environments.

Responsibilities

• Lead complex initiatives with broad impact, acting as a key participant in large scale software planning for Identity and Access management.
• Design, develop, and run tooling to discover problems in data and applications and report issues to engineering and product leadership.
• Apply statistical and data science methods and techniques to business problems related to Identity and Access Management.
• Serve as a subject matter expert on ML, AI, and the use of mathematical and statistical techniques on large datasets.
• Design, support, and operate data pipelines, data models, dashboards, and API integrations for real-time and batch analytics use cases.
• Design and conduct experiments, statistical analyses, and hypothesis testing to evaluate proposals supporting controls, policies, and operational processes.
• Lead other IAM team members across operations, onboarding, initiatives, and engineering, and coordinate with line of business and lines of defense teams to translate analytical needs into technical solutions.
• Establish and implement engineering and analytical best practices when developing solutions.
• Develop solutions in line with established security, privacy, model risk, and regulatory guidelines.
• Develop, test, deploy, and support ML-enabled analytical solutions, and guide team members in ML, AI, and statistical techniques to drive AI/ML adoption across IAM.
• Assist in monitoring model health, reliability, and drift, ensuring continuous improvement and required remediation.
• Use AI-assisted development and analysis tools (for example, GitHub Copilot and approved code-centric agents), and use 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, and apply AI responsibly in development and production environments in alignment with security, compliance, privacy, and ethical standards.

Required Experience

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

Technologies

• Python, Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch
• Vertex AI, GCP, BigQuery
• Neo4j
• GitHub, Power BI, Tableau, Alteryx
• GitHub Copilot, Claude Code, Cursor, Devin
• LLMs, RAG, AI agents

Benefits

• 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

Desired Qualifications

• Knowledge of Vertex AI and GCP environments, BigQuery, and getting models into production on these platforms.
• Knowledge of graph networks for anomaly detection (Neo4j).
• Learning mindset focused on keeping up-to-date with developments in the field.
• Knowledge of GitHub for code management, and experience with Power BI, Tableau, and Alteryx.
• Understanding of software engineering fundamentals including testing, debugging, and code reviews is highly desirable.
• Knowledge of the mathematical foundations of statistics, machine learning, and modern AI techniques.
• Strong understanding of model evaluation techniques for classification and clustering, including precision, accuracy, F1-scores, confusion matrices, and ROC curves.
• High comfort with 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, including ability to communicate complex technical concepts.
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or a related field.

Application and Posting Statements

• Job posting may come down early due to volume of applicants.
• Required location(s) are listed above; relocation assistance is not available for this position.
• Salary range is determined by location of the job and 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.

Recruitment End Date

22 Sep 2026

Additional Policies

• Applicants with disabilities: For 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. See the Drug and Alcohol Policy for details.
• Third-party recordings are prohibited unless authorized by Wells Fargo.
• Wells Fargo requires applicants to directly represent their own experiences during recruiting and hiring.

Additional Locations Listed

• 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