AI Director

About the Role

Lead the organization's AI and GenAI strategy — identifying high-impact use cases, industrializing AI solutions, and embedding AI across business functions. This role sits at the intersection of AI strategy, technical leadership, and organizational transformation, partnering closely with senior leadership to translate AI potential into measurable business value.

What You'll Do

Partner with senior leadership to define and execute an AI/GenAI strategy aligned with business goals, identifying, prioritizing, and championing high-impact use cases.

Drive the industrialization of AI — developing advanced ML models, operationalizing GenAI through secure APIs and model orchestration, and managing the full AI lifecycle from data strategy to continuous model monitoring.

Lead the design, development, and deployment of ML models across areas such as client segmentation, personalization, risk, fraud detection, and predictive analytics.

Act as a trusted advisor to senior leadership, translating complex technical concepts into tangible business value, and working cross-functionally with business, risk, compliance, and operations teams to embed AI solutions.

Ensure AI governance, ethics, and compliance — partnering with legal, risk, and compliance to validate use cases, ensure transparency, fairness, and adherence to data privacy regulations.

Drive AI literacy and cultural transformation across the organization through upskilling, mentorship, and industry partnerships.

Establish data quality best practices, GenAI-specific evaluation metrics (e.g., toxicity, factuality, response quality), and robust monitoring systems for ongoing model performance.

What We're Looking For

Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field.

12+ years of AI/ML experience, with at least 5–7 years in a senior leadership role in financial services, banking, or technology.

Deep technical expertise across ML, Deep Learning, NLP, GenAI (LLMs, RAG, Prompt Engineering, Agentic workflows), and MLOps/LLMOps.

Proficiency in Python, SQL, and cloud platforms (AWS/Azure/GCP).

Strong domain knowledge in financial services, with experience in client analytics, risk, and fraud detection.

Proven leadership across cross-functional teams and executive stakeholders in large, matrixed organizations.

Solid understanding of AI ethics, data privacy, and regulatory compliance.

Account Manager

Jason He Runfeng

EA License No: 16S8107

EA Personnel Registration No: R25157533