AI & Platform Infrastructure Lead

Piermont Bank•New York, NY

About The Position

This position will architect and execute the Bank’s immediate and long-term AI, cybersecurity, and technology platform strategy. This executive will continue to build out a secure, cloud-native, embedded banking infrastructure that enables scalable fintech and enterprise partnerships, regulatory compliance, and data-driven growth. This role is critical in advancing a digital-first, cloud-native banking model, ensuring AI is responsibly deployed, cybersecurity posture is proactive, and the technology stack is optimized for embedded finance and API-driven partnerships.

Requirements

12+ years in financial services technology leadership.
Proven experience in: AI/ML deployment in regulated environments Cloud-native banking architecture Cybersecurity leadership Embedded banking or fintech partnership infrastructure
Experience working with regulators and board reporting.
Deep understanding of API ecosystems and Banking-as-a-Service models.
Cloud platforms (AWS/Azure/GCP)
API gateway & microservices architecture
Data engineering & MLOps
Cybersecurity frameworks (NIST, ISO, FFIEC)
Core banking integration strategy
Strategic but execution-oriented
Regulatory fluency
Able to translate technical complexity into board-level insight

Responsibilities

Develop and own a 3–5 year enterprise AI roadmap aligned with business growth, risk management, and regulatory expectations.
Identify high-impact AI use cases across: Credit underwriting & portfolio monitoring Fraud detection & transaction monitoring Customer lifecycle & onboarding automation Operational efficiency & workflow automation
Establish AI governance framework: Build internal AI capability (data engineering, MLOps, model validation oversight).
Partner with Risk & Compliance to ensure AI tools meet banking supervisory expectations.
Build centralized data architecture to support: Real-time analytics Embedded reporting for partners Regulatory reporting automation
Implement data governance standards, lineage tracking, and access controls.
Develop, implement and manage enterprise architecture roadmap aligned with the growth strategy.
The executive will also partner with: Chief Risk Officer (model risk, cyber oversight) Chief Growth/Product teams (AI-enabled client experience) CFO (technology ROI and capital planning) HR (AI talent acquisition and upskilling)
Lead high-performing teams across data science, engineering, and information security.
Serve as executive sponsor for innovation initiatives.