Director of Engineering, Payments

Direct the activities of multiple integrated software engineering teams, primarily through lower management levels.

Oversee the design, development, and delivery of software solutions driving enterprise-level transformation products.

Establish operational objectives, strategic plans, and technical design roadmaps for the engineering department aligned with long-term company goals.

Lead the architectural strategy and evolution of secure, resilient, and highly available cloud-native environments using technologies like AWS, PostgreSQL, and Node.js.

Direct the delivery of payment and money-movement capabilities, including payment acceptance, processing, disbursement, ledgering, settlement, reconciliation, refunds, returns, disputes, and exception handling.

Ensure platform architecture and operational practices support idempotent transaction processing, ledger integrity, auditability, observability, disaster recovery, and compliance with PCI DSS, NACHA rules, EI3PA, data privacy standards, and internal financial controls.

Partner across departments (Product, Finance, Treasury, Risk, Compliance, Security) and with external processors and banking partners to translate payment-network requirements into technical solutions.

Manage departmental budget accountability, strategic planning cycles, human resource planning, recruitment, and team performance.

Reconcile multiple stakeholder views and negotiate matters of significance to drive business results and maintain professional stakeholder alignment.

Establish and monitor key payment engineering metrics, including authorization and failure rates, processing latency, settlement accuracy, exception volumes, platform availability, and incident recovery times.

Leverage company-approved GenAI tools as a "Human-in-the-Loop" to automate routine tasks while maintaining data governance, PII security, and factual accuracy

Specialized expertise in database management and secure coding practices focused on Money Movement, Credit Risk, and Fraud prevention.

Demonstrated proficiency in prompt engineering and GenAI integration, with experience auditing AI outputs for brand alignment and accuracy while safeguarding proprietary data.

Demonstrated success leading large-scale technical transformations within fast-paced, high-stress, or heavily regulated environments.