Wells Fargo is building AI/ML and data engineering capabilities for Identity Access Management within Cybersecurity, supporting access governance and anomaly detection at scale. This onsite Lead Data Engineer role in Minneapolis focuses on real-world analytics in production, with responsible AI practices and adherence to security, privacy, model risk, and regulatory guidelines.
Responsibilities
- Lead complex initiatives with broad impact and participate as a key contributor in large scale software planning for Identity and Access management.
- Design, develop, and run tooling to discover issues in data and applications, then report findings to engineering and product leadership.
- Apply statistical and data science methods to 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 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.
- 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 teams, and partner with line of business and lines of defense groups to translate analytical needs into technical solutions.
- Establish and implement engineering and analytical best practices during solution development.
- Develop, test, deploy, and support ML-enabled analytical solutions, guiding team members in ML, AI, and statistical techniques to drive AI/ML adoption across IAM.
- Monitor model health, reliability, and drift to support continuous improvement and required remediation.
- Use AI-assisted development and analysis tools (for example GitHub Copilot and approved code-centric agents) and leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting.
- Validate and integrate AI-assisted outputs with strong technical judgment, accounting for model limitations, security risks, and operational considerations.
- Ensure AI usage aligns with security, compliance, privacy, and ethical standards in both development and production environments.
Requirements
- 5+ years of Database Engineering experience, or an equivalent combination of 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.
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, including BigQuery and deploying 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, plus Power BI, Tableau, Alteryx.
- Software engineering fundamentals such as testing, debugging, and code reviews are 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.
- High comfort using AI coding agents (GitHub Copilot, Claude Code, Cursor, Devin, or others) with the ability to critically examine AI-generated 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 organization and book-of-work management skills.
- Hands-on ability to manipulate data and tools to prototype and present solutions.
- Confident, self-motivated delivery of original ideas and solutions, with sound judgment for when to escalate issues.
- Strong written and verbal communication 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 related field.
Location: Minneapolis, MN (onsite)
Salary: USD $119,000 - $206,000 per year
Posting end date: 22 Sep 2026
Additional statements: This job posting may come down early due to volume of applicants. Required location(s) are listed for this role. Relocation assistance is not available. Salary range is determined by location and may be considered for discretionary bonus, Restricted Share Rights, or other long-term incentive awards. This position is not eligible for visa sponsorship and is not eligible for 100% remote work.
Accessibility: To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Policy notes: Wells Fargo maintains a drug-free workplace. Third-party recordings are prohibited unless authorized by Wells Fargo, and you must directly represent your own experiences during the recruiting and hiring process.
