Lead Data Engineer - Data Scientist

Lead Data Engineer in Cybersecurity within Identity Access Management at Wells Fargo, building intelligent access governance and production analytics.

Responsibilities

• Lead complex initiatives with broad impact and contribute to large-scale software planning for Identity and Access management
• Design, develop, and run tooling to discover problems in data and applications, then report findings to engineering and product leadership
• Apply statistical and data science methods to business problems in Identity and Access Management
• Act as a subject matter expert in ML and AI, including mathematical and statistical techniques for 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 for controls, policies, and operational processes
• Build AI-powered capabilities to identify inappropriate access, recommend entitlements before user requests, and detect anomalous behavior across millions of identity events
• Lead IAM team members across operations, onboarding, initiatives, and engineering, plus line of business and lines of defense stakeholders to translate analytical needs into technical solutions
• Establish and implement engineering and analytical best practices during solution development
• Develop solutions in alignment with security, privacy, model risk, and regulatory guidelines
• Develop, test, deploy, and support ML-enabled analytical solutions, and guide team adoption of ML, AI, and statistical techniques for IAM use cases
• Monitor model health, reliability, and drift, and drive required remediation
• Use AI-assisted development and analysis tools (for example GitHub Copilot and approved code-centric agents)
• Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
• Validate and integrate AI-assisted outputs using strong technical judgment, accounting for limitations, security risks, and operational considerations
• Ensure responsible AI use in development and production environments, aligned to security, compliance, privacy, and ethical standards

Requirements

• 5+ years of database engineering experience (or equivalent through work experience, training, military experience, or education)
• 5+ years with Python data science libraries including Pandas, NumPy, and Scikit-Learn, plus exposure to a deep learning framework such as TensorFlow or PyTorch
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or related field

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

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

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 to stay current with developments in the field
• Knowledge of GitHub for code management and experience with Power BI, Tableau, 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 metrics such as precision, accuracy, F1-scores, confusion matrices, and ROC curves
• Comfort using AI coding agents like 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, self-motivated producer of original ideas and solutions, with sound judgment for when to escalate issues
• Strong written and verbal communication with excellent presentation skills
• Ability to communicate complex technical concepts to colleagues and team members

Salary range: USD 119,000 - 206,000 per yearly

Posting end date: 22 Sep 2026

Posting Statements

• Job posting may come down early due to volume of applicants
• Required locations 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

Additional Information

• To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo
• Wells Fargo maintains a drug-free workplace; review the Drug and Alcohol Policy to learn more
• Third-party recordings are prohibited unless authorized by Wells Fargo
• Wells Fargo requires candidates to directly represent their own experiences during recruiting and hiring