Wells Fargo is hiring a Lead Data Engineer for Cybersecurity within Identity Access Management (IAM), where you will help design and deliver intelligent access governance capabilities. The role combines data engineering, analytics, and machine learning approaches to support real-time and batch solutions for large-scale identity environments.
Role Overview
In this position, you will develop solutions across access governance, anomaly detection, entitlement automation, and analytics workflows. You will apply statistical and data science methods and ML/AI techniques to large datasets and production pipelines while adhering to security, privacy, model risk, and regulatory expectations.
Key Responsibilities
- Lead complex initiatives with broad impact and participate in large-scale software planning for Identity and Access Management.
- Design, develop, and run tooling to discover issues in data and applications, and report findings to engineering and product leadership.
- Use statistical and data science methods to address business problems related to Identity and Access Management.
- Act as a subject matter expert for ML and AI, including mathematical and statistical techniques applied to large datasets.
- Design, support, and operate data pipelines, data models, dashboards, and API integrations to deliver real-time and batch analytics.
- Design and conduct experiments, statistical analyses, and hypothesis testing to evaluate proposals supporting controls, policies, and operational processes.
- Build AI-powered capabilities to identify inappropriate access, recommend entitlements prior to user requests, and detect anomalous behavior across millions of identity events.
- Coordinate with IAM team members, operations, onboarding, initiatives, engineering teams, and line of business and lines of defense teams to translate analytical needs into technical solutions.
- Establish and apply engineering and analytical best practices when building solutions.
- Develop solutions in alignment 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 methods to drive AI/ML adoption within IAM.
- Support monitoring for model health, reliability, and drift, including remediation as needed.
- Demonstrate proficiency with AI-assisted development and analysis tools such as GitHub Copilot and approved code-centric agents.
- Validate and integrate AI-assisted outputs using strong technical judgment, accounting for model limitations, security risks, and operational considerations.
- Ensure AI usage in development and production environments aligns with security, compliance, privacy, and ethical standards.
Required Qualifications
- 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, plus exposure to a deep learning framework such as TensorFlow or PyTorch.
Preferred/Desired Qualifications
- Knowledge of Vertex AI and GCP environments, including BigQuery and deploying models into production on these platforms.
- Knowledge of graph networks for anomaly detection (Neo4j).
- Comfort keeping pace 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 methods for classification and clustering, including precision, accuracy, F1-scores, confusion matrices, and ROC curves.
- Comfort using AI coding agents (GitHub Copilot, Claude Code, Cursor, Devin or similar) with the ability to critically review AI code for suitability.
- Familiarity with LLMs, RAG, and AI agents.
- Strong SQL skills and ability to work with relational and analytical databases.
- Strong organizational and book-of-work management skills.
- Hands-on ability to manipulate data and tools to prototype and present solutions.
- Self-motivated approach to generating original solutions and sound judgment for escalation.
- Strong written and verbal communication and presentation skills, including the ability to explain complex technical concepts.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or a 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
Education
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or a related field.
Location
Address listed for this role: 3075 Loyalty Cir. - Columbus, Ohio 43219.
Compensation
USD 119,000 - 206,000 per yearly. Pay range may be determined by location, and may be considered for a discretionary bonus, Restricted Share Rights, or other long-term incentive awards.
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
Additional Posting Information
- Job posting may come down early due to volume of applicants.
- Required location(s) listed above. Relocation assistance is not available for this position.
- This position is not eligible for visa sponsorship.
- This role is not eligible for 100% remote work.
- Salary range is listed as $119,000.00 - $206,000.00.
Posting end date: 22 Sep 2026.
Equal Opportunity and Compliance Statements
- 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.
- Third-party recordings are prohibited unless authorized by Wells Fargo.
- Wells Fargo requires candidates to directly represent their own experiences during recruiting and hiring.
