AI Director Data Engineering

Director Of Ai Platform Engineering

We are seeking an experienced Director to lead the AI platform engineering and enablement functions within our expanding Cloud Data and AI Platform organization. This role is instrumental in building, operationalizing, and governing the next-generation AI and machine learning ecosystem that powers advanced analytics and responsible AI adoption across the bank. You will lead multiple engineering teams responsible for designing and maintaining secure, scalable, and compliant AI environments that connect enterprise data, model development, deployment, and monitoring capabilities.

As a seasoned technology leader, you will bring your expertise in enterprise AI architecture, model operations, and platform engineering to partner with key business, technology, and governance stakeholdersensuring AI initiatives are responsibly implemented, well-controlled, and deliver measurable value.

Responsibilities

• Lead the design, implementation, and continuous evolution of the banks enterprise AI platform , including infrastructure, model lifecycle management, observability, and integration with Snowflake, AWS, and cloud-native toolchains.
• Manage and mentor cross-functional engineering teams responsible for AI enablement, automation, and platform services supporting data scientists, engineers, and analysts across the organization.
• Define and enforce standards, patterns, and guardrails for model deployment, explainability, lineage, and monitoring in alignment with enterprise risk, compliance, and security frameworks.
• Partner closely with leaders across Responsible AI Governance, AI Portfolio Management, AI Fluency & Engagement, and Applied Data Science & GenAI, in collaboration with enterprise risk partners, to implement a responsible AI framework that embeds audit-ready control evidence and governance mechanisms directly into the platforms core design to ensure the platform supports scalable, ethical, compliant, and high-impact AI delivery.
• Build and maintain integrations with enterprise platforms for data ingestion, metadata management, tokenization, and control evidence generation.
• Continuously enhance the platform s automation, resilience, and observability, ensuring robust end-to-end telemetry for both model and data pipelines.
• Drive innovation enablement by establishing secure sandbox environments, reusable components, and APIs that accelerate experimentation while maintaining compliance.
• Collaborate with Enterprise Risk, Legal, Compliance, and Model Risk partners to embed Responsible AI principles and audit-ready control evidence directly into platform design.
• Oversee technical due diligence , onboarding, and management of strategic AI and GenAI vendors and tools, ensuring compatibility with enterprise architecture and control frameworks.
• Develop and mentor engineering talent , championing Agile practices, continuous learning, and adoption of emerging AI and data engineering technologies.

Qualifications

Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management. OR High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.

Preferred :