Data & AI Technical Lead - Innovation Hub

We are seeking a Data & AI Lead for a small Innovation Hub to deliver proofs of concept (PoCs) and reusable assets, for various usecases withn Financial Services, with a focus on GRC domains (AML, Financial Crime, Risk & Compliance).

Key Responsibilities

- Lead end-to-end delivery of Data & AI PoCs and innovation prototypes - Build reusable technical assets, accelerators, and reference architectures - Design governed semantic and logical data layers - Implement data virtualization and federated data access patterns - Apply DataOps and MLOps practices for repeatable PoC delivery - Design cloud-native solutions across AWS, Azure, and GCP (based on client needs) - Shape GenAI / LLM PoCs (RAG, knowledge retrieval, case summarization, data discovery) - Develop domain-aligned data models for AML, Risk, and Compliance - Mentor and lead a small engineering team (2–5 members) - Present PoC outcomes to business, IT, and compliance stakeholders

Required Skills & Experience

- 10–14 years in Data Engineering, Data Architecture, or AI/Data Solutioning. - Strong experience in: Data architecture & data modeling; Data integration & distributed data systems; Data virtualization & semantic layer design and SQL + Python. - Practical experience in DataOps and/or MLOps practices. - Experience building modular, API-driven, reusable components. - Multi-cloud solution design experience (AWS / Azure / GCP). - Working knowledge of LLM and GenAI solution patterns. - Strong Financial Services domain background. - Experience in GRC domains — AML, Financial Crime, Risk, Compliance. - Proven experience leading small technical teams.

Preferred / Nice-to-Have

- Experience with data virtualization platforms (e.g., Denodo). - Experience with data science & AutoML platforms (e.g., Dataiku). - Exposure to AI-enabled data platforms and data fabric approaches. - Relevant cloud / data / AI certifications.

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