Wells Fargo is seeking a Lead Data Engineer in Cybersecurity within Identity Access Management (IAM). The role focuses on delivering AI/ML-enabled analytics by combining data engineering and statistical/data science methods for access governance and anomaly detection.
Role Summary
In this onsite position in Minneapolis, MN, you will lead complex initiatives with broad impact across IAM. Responsibilities span the design and operation of data pipelines, development of ML-enabled analytical solutions, and support for production use cases including real-time and batch analytics. You will also establish best practices for engineering and analytics while ensuring solutions meet security, privacy, model risk, and regulatory guidelines.
Key Responsibilities
- Lead complex initiatives with broad impact and participate as a key member 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 to business problems related to IAM.
- Act as a subject matter expert for ML and AI, including the application of mathematical and statistical techniques on 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 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.
- Lead 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 during solution development.
- Develop solutions in accordance with established security, privacy, model risk, and regulatory guidelines.
- Develop, test, deploy, and support ML-enabled analytical solutions, guiding teammates on ML, AI, and statistical techniques to drive IAM adoption of AI/ML.
- Assist in monitoring model health, reliability, and drift to support continuous improvement and required remediation.
AI-Assisted Development and Responsible Use
- Demonstrate proficiency using 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.
- Apply strong technical judgment when validating and integrating AI-assisted outputs into solutions.
- Account 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.
Required Qualifications
- 5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education.
- 5+ years of experience with Python data science libraries such as Pandas, NumPy, and Scikit-Learn, plus exposure to a deep learning framework such as TensorFlow or PyTorch.
Technology Stack
Experience with the following technologies is relevant to this role: 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, and AI agents.
Location, Salary, and Work Authorization Notes
- Location: Minneapolis, MN (onsite)
- Salary Range: USD 119,000 - 206,000 per year
- Required location(s) are listed by posting; 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.
Posting End Date: 22 Sep 2026
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 Statements
- Job posting may come down early due to volume of applicants.
- 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.
- To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
- Wells Fargo maintains a drug-free workplace (see Drug and Alcohol Policy).
- Third-party recordings are prohibited unless authorized by Wells Fargo.
- Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Other Listed 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
