Wells Fargo · 5 hours ago
Technology Director of Data Derived Security Services
Wells Fargo is a leading financial institution seeking a Technology Director of Data Derived Security Services. This senior role is responsible for engineering, automation, and AI enablement for data-derived services in the Counter Threat Operations Center, leading the development and deployment of technology ecosystems and strategies for operational efficiency.
BankingFinancial ServicesFinTechInsurancePayments
Responsibilities
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
Qualification
Required
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
Preferred
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
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
Company
Wells Fargo
Wells Fargo & Company is a financial services firm that provides banking, insurance, investments, and mortgage services.
H1B Sponsorship
Wells Fargo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-10-06IPO
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