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.

Requirements

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.
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.

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/MLdata engineeringdata scienceMLOpsPythonPyTorchJAXTensorFlowRustETL

Soft Skills

leadershipproblem-solvinganalytical skillsorganizational skillsinfluencepersuasiondecisivenessproject managementcross-functional coordinationdata-driven decision making

Certifications

Ph.DMaster's degree