Head of AI & Data

Role Overview

We 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 Own

AI Systems & Model Development

Lead design and development of AI/ML models for prediction, decisioning, and automation

Build AI agent systems using LLMs and structured financial data

Define model architecture, training approach, evaluation, and iteration cycles

Improve model performance across accuracy, reliability, and explainability

Data Infrastructure & Engineering

Build and scale data pipelines supporting real-time and batch processing

Design data architecture for structured and unstructured financial data

Ensure data quality, consistency, lineage, and security

Support integration of multiple data sources across banking workflows

Production Deployment & Scalability

Deploy models into production environments with high reliability and uptime

Ensure systems meet enterprise requirements (latency, scalability, observability)

Build monitoring systems for model drift, performance, and anomalies

Work closely with engineering to operationalize AI features at scale

Financial Use Cases & Domain Intelligence

Translate financial workflows into AI-driven systems

Build models for use cases such as:

risk scoring

credit decisioning

fraud detection

customer behavior prediction

Work closely with product and domain experts to ensure real-world applicability

What We’re Looking For

Required Experience

Experience building and deploying production ML/AI systems

Strong background in machine learning, data engineering, or applied AI

Experience working with large-scale datasets and model pipelines

Hands-on ability to design and ship systems (not just research)

Strong understanding of model evaluation and system performance

Strong Preference For Candidates With

Experience with LLMs, agent-based systems, or foundation models

Background at leading AI, infrastructure, or data companies

Experience in fintech, financial data, or regulated environments

Exposure to scalable cloud data/ML infrastructure (AWS, GCP, etc.)

Experience building systems from early-stage to production scale

What Success Looks Like (First 6–12 Months)

Production-grade AI systems powering core financial workflows

Stable, scalable data infrastructure supporting multiple product lines

Measurable improvements in model accuracy and system reliability

Clear AI architecture supporting enterprise adoption and scale

Strong collaboration with product and engineering to ship AI features

Why This Role

This 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