Data AI Lead

Opportunity

What You’ll Do

• Audit core banking databases, event streams, and feature stores for data completeness, latency, and readiness for AI training and inference; drive remediation.
• Assess Generative AI, RAG, agentic, and predictive ML use cases for data availability, volume, privacy controls, and real-time access.
• Specify feature schemas, context architectures, and data pipeline contracts for AI models.
• Establish governance for data rights, consent, PII masking, tokenization, lineage, bias mitigation, and regional regulatory compliance.
• Prepare mobile, internet banking, and onboarding telemetry for predictive analytics, personalization, and AI agents.
• Assure AI content in Steering Committee packs, challenge estimates and timelines, and identify data-related delivery delays.
• Present to senior client stakeholders, including CTOs, Chief AI Officers, and Risk Committees.

What We’re Looking For

• 10+ years of technology leadership across data architecture, data science, or AI platform delivery.
• 4+ years leading AI/ML data foundations or governance in consultancies or enterprise banks.
• Solid experience delivering data platforms or AI use cases in Retail Banking environments.
• Experience using mobile interaction telemetry and digital customer journey data for real-time AI, personalization, or predictive decisioning.
• Deep expertise in feature store design, RAG vector embeddings, synthetic data generation, Kafka event streaming, and ML pipeline data quality monitoring.
• Exceptional verbal, written, and visual communication; able to translate data science concepts into executive narratives.
• Proven ability to present to senior stakeholders.

About Deeplight