Technology Director of Data Derived Security Services

About this role:

This senior role will be responsible for Engineering, Automation, and AI Enablement for data derived services in the Counter Threat Operations Center (Fusion Center).  This role leads a high impact function ensuring the data derived threat capabilities servicing the various operations teams are properly planned, developed, deployed, and sustained within the CTOC. This role will manage the engineering, deployment, and operation of the underlying technology ecosystem and the associated product, data, and services. This individual will define and drive CTOC’s data and AI operational strategy aligned with operational efficiency goals.  They will build cloud-based data ingestion frameworks, real time and batch data pipelines, and scalable data warehousing solutions. Includes oversight of the data management, automation, data science and mathematical modeling of the firm’s collective cyber, fraud, and AML data, reducing the complexity of the data, scaling our overall analytical capabilities, and producing an analytical outcome far beyond what exists in the industry today. 

In this position you will:

• Architect a multi-temperature lakehouse (Delta Lake v3.2 + Apache Iceberg 1.6) with neural schema inference using AutoEncoder-driven feature drift detection (VAE + KL divergence thresholds). 
• Ingest 1.8T events/day via Kafka Confluent Tiered Storage; Flink CEP; Photon-accelerated Spark 3.5 Structured Streaming with sub-75ms P99 latency. 
• Deploy LLM-powered log normalization with FAISS-HNSW vector stores.
• Lead a red-team MLOps platform deploying 45+ production models via KServe v0.13 on EKS/GKE with NVIDIA A100/H100 MIG partitioning. 
• Implement certified robustness using interval bound propagation (IBP) and CROWN-IBP for isolation forest and tabular GNN detectors
• Operationalize Poisoning-Resistant Federated Learning (Secure Aggregation + Trimmed Mean) across 4 regional CTOC’s, 3 Regional SOC’s, and a dozen disparate data repositories using Flower + PySyft with differential privacy.
• Stay abreast of innovations in AI, data infrastructure, and cloud platforms to maintain the department’s edge against a complex adversary. 
• Deploy PPO + SAC agents trained in MITRE ATT&CK® Gym environments (Caldera + Atomic Red Team) to orchestrate multi-stage hunt sequences. 
• Integrate LLM-augmented playbooks (fine-tuned Mistral Large 2) that generate SOAR runbooks in Cortex XSOAR DSL from natural language TTP descriptions.
• Reduce MTTD to ≤2 minutes for Tier-1 incidents via graph attention networks (GATv3) over Neo4j AuraDB correlating terabytes of data daily.
• Manage a team of engineering managers and engineering leads
• Focus on delivering commitments aligned to enterprise strategic priorities
• Build support for strategies with business and technology leaders
• Guide development of actionable roadmaps and plans
• Identify opportunities and strategies for continuous improvement of software engineering practices
• Provide oversight to software craftsmanship, security, availability, resilience, and scalability of solutions developed by the teams or third party providers
• Identify financial management and strategic resourcing
• Set risk management guidelines and partner with stakeholders to implement key risk initiatives
• Develop strategies for hiring engineering talent
• Lead implementation of projects and encourage engineering innovation
• Collaborate and influence all levels of professionals including more experienced managers
• Lead team to achieve objectives
• Interface with external agencies, regulatory bodies or industry forums
• Manage allocation of people and financial resources for Technology Strategic Leadership
• Develop and guide a culture of talent development to meet business objectives and strategy

Required Qualifications:

• 8+ years of Technology Strategic Leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4+ years of management or leadership experience
• 8+ years in AI/ML, data engineering, data science with at least 4+ years in leadership roles leading AI, Fusion Center, or CTOC transformations in large financial institutions with track record of reducing MTTD and MTTR Kri’s.  
• Proven ability lead and manage teams in a matrixed environment, with a history of influence and persuasion over diverse technology teams.

Desired Qualifications

• Experience in a wide variety of information security disciplines
• Must have MLOps Mastery, experience building GPU clusters >5,000 H100s, CI/CD for models, canary + shadow deployments, drift detection (PSI, K-S, MMD).
• Hands-On Coding Experience; Expert in Python (PyTorch 2.4, JAX, TensorFlow 2.16), Rust (for Triton kernels), CUDA-X, GraphQL federated queries.
• Experience implementing Adversarial ML. IBP, randomized smoothing, TRADES training, and certified defenses in finance.
• Must be a master problem solver with the ability to be decisive while making data driven decisions. 
• Must maintain exceptional skills in managing complex projects and coordinate cross functional teams to achieve common objectives.
• Maintain a solid grasp of data analytics to interpret business performance, identify areas for improvement, and translate the CISO’s vision into day-to-day operational and strategic plans. 
• Implement robust data governance frameworks, ensuring data privacy, lineage, and compliance with standards like NIST.
• Must have experience using ETL tools in day-to-day operations. 
• Ph.D or Master's degree from an accredited college/university in Computer Science, Machine Learning or Artificial Intelligence, Statistics, or Cryptography;  huge plus if thesis is in adversarial ML, casual inference, or graph presentation. 
• Strong organizational skills
• Strong problem-solving and analytical skills.
• Prior experience in managing and effectively influencing large matrixed teams in a hyper-regulated industry with validated experience succeeding with large projects.
• Desired Certifications:  Google Professional ML Engineer; NVIDIA Deep Learning Institute (DLI) Certified; Databricks GenAI Engineer

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

$215,000.00 - $355,000.00

Posting End Date:

22 Jan 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

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.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.