Head of AI & Data

Role OverviewWe are hiring a high-impact Head of AI & Data to lead the development of AI systems powering our analytics and decisioning platform for financial institutions.This role is responsible for building and scaling production-grade AI agents, models, and data infrastructure that operate in real-world banking environments.You will own the technical foundation of our platform from model design to deployment ensuring our AI systems are reliable, scalable, and enterprise-ready.What You'll OwnAI Systems & Model DevelopmentLead design and development of AI/ML models for prediction, decisioning, and automationBuild AI agent systems using LLMs and structured financial dataDefine model architecture, training approach, evaluation, and iteration cyclesImprove model performance across accuracy, reliability, and explainabilityData Infrastructure & EngineeringBuild and scale data pipelines supporting real-time and batch processingDesign data architecture for structured and unstructured financial dataEnsure data quality, consistency, lineage, and securitySupport integration of multiple data sources across banking workflowsProduction Deployment & ScalabilityDeploy models into production environments with high reliability and uptimeEnsure systems meet enterprise requirements (latency, scalability, observability)Build monitoring systems for model drift, performance, and anomaliesWork closely with engineering to operationalize AI features at scaleFinancial Use Cases & Domain IntelligenceTranslate financial workflows into AI-driven systemsBuild models for use cases such as: risk scoringcredit decisioningfraud detectioncustomer behavior predictionWork closely with product and domain experts to ensure real-world applicabilityWhat We're Looking ForRequired Experience Experience building and deploying production ML/AI systemsStrong background in machine learning, data engineering, or applied AIExperience working with large-scale datasets and model pipelinesHands-on ability to design and ship systems (not just research)Strong understanding of model evaluation and system performanceStrong Preference For Candidates WithExperience with LLMs, agent-based systems, or foundation modelsBackground at leading AI, infrastructure, or data companiesExperience in fintech, financial data, or regulated environmentsExposure to scalable cloud data/ML infrastructure (AWS, GCP, etc.)Experience building systems from early-stage to production scaleWhat Success Looks Like (First 6-12 Months)Production-grade AI systems powering core financial workflowsStable, scalable data infrastructure supporting multiple product linesMeasurable improvements in model accuracy and system reliabilityClear AI architecture supporting enterprise adoption and scaleStrong collaboration with product and engineering to ship AI featuresWhy This RoleThis is a high-impact opportunity to build the core AI infrastructure powering decisioning and analytics for financial institutions.You will own the technical backbone of the platform and directly influence how AI is applied in real banking environments.Reports to: CEO / CTO