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Wells Fargo is seeking an Information Security Engineering Manager in Technology as part of Cybersecurity. The Cybersecurity Defense Management (CDM) Data and AI Manager leads the strategy and execution of data, analytics, and AI capabilities that strengthen the organization’s cybersecurity defense posture. This role oversees secure data pipelines, develops AI/ML models for threat detection and automation, and manages a comprehensive metrics program supporting operational visibility and executive decision making. The manager ensures that CDM operations are driven by accurate data, meaningful insights, and responsible use of advanced technologies.
Job Responsibility:
Manage a team, through less experienced managers, of Information Security Engineers that design, document, test, maintain and provide issue resolution recommendations for highly complex security solutions related to networking, cryptography, cloud, authentication or directory services, email, internet, applications, or endpoint security
Engage more experienced information security and line of business management to identify, formulate and implement information security solutions and controls
Lead a large, complex information security unit or a number of smaller specialized work units with direct impact to companywide information security objectives having high risk and complexity
Manage security consulting on large projects for internal clients to ensure conformity with corporate information security policy and standards
Set guidelines for compliance and risk management requirements for supported area and work with other stakeholders to implement key risk initiatives
Oversee resource allocations to ensure commitments align with strategic objectives
Manage implementation of information security such as availability, integrity, confidentiality, risk management, threat identification, modeling, monitoring, incident response, access management and business continuity
Maintain a broad awareness of the state of information security across the enterprise and industry
Influence change to information security policy, standards and procedures for systems, applications or tools
Lead large, companywide projects and initiatives
Represent the organization to regulators, industry groups and governmental agencies
Interface with Information Security Industry Leaders, Financial industry Leaders, Analysts and Regulators
Advise more experienced leadership or executive management on issues with high, critical impact on the company
Manage allocation of people and financial resources for Information Security Architecture
Develop and guide a culture of talent development to meet business objectives and strategy
Lead the CDM Data & AI function, setting strategy, priorities, and technical direction
Maintain the CDM Data & AI roadmap and align it with cybersecurity and enterprise goals
Coordinate cross‑functional initiatives with cybersecurity, IT, cloud, data, and governance teams
Oversee platforms, tools, and vendor engagements supporting analytics and AI
Manage secure, scalable data pipelines for ingesting and correlating cybersecurity telemetry
Ensure data quality, governance, and consistency across CDM systems and sources
Develop and maintain security‑focused data models and standardized schemas
Partner with enterprise data teams on architecture, integration, and modernization efforts
Develop and deploy ML/AI capabilities for threat detection, anomaly detection, predictive analytics, and automation
Implement generative‑AI solutions to support triage, analysis, and reporting while maintaining security and privacy controls
Oversee MLOps processes including model training, validation, deployment, and performance monitoring
Integrate AI capabilities into SIEM, SOAR, IAM, EDR, and cloud‑security ecosystems
Lead the CDM metrics program, defining KPIs/KRIs that measure control effectiveness, cyber hygiene, operational performance, and risk reduction
Produce dashboards and reports for senior leadership and governance bodies
Ensure metrics align with cybersecurity frameworks (e.g., NIST CSF, NIST 800‑53, Zero Trust)
Maintain consistent, accurate, and transparent reporting across CDM environments
Ensure secure and compliant data‑handling and AI‑development practices
Support audits, risk assessments, and compliance activities with validated data and metrics
Establish governance guidelines for responsible and ethical AI in cybersecurity operations
Act as a liaison across cybersecurity, IT, data, audit, and compliance teams
Translate complex data and technical findings into actionable insights for non‑technical stakeholders
Mentor and guide staff on data analytics, engineering, and AI best practices
Requirements:
6+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years of management or leadership experience
Proficiency with ML frameworks (e.g., TensorFlow, PyTorch) and data engineering tools (Python, SQL, Spark)
Experience with Azure, AWS, or GCP, and security automation platforms
Familiarity with NIST CSF, NIST 800‑53, MITRE ATT&CK, and Zero Trust
Nice to have:
CISSP, CISM, CCSP, GIAC, or AI/ML/cloud certifications
Experience building generative‑AI capabilities for cybersecurity use cases
Experience with MLOps pipelines and model lifecycle management
What we offer:
Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance