AI Product Lead
Role Purpose
Lead the product vision, delivery, and adoption of an AI-enabled knowledge base for internal banking operations -turning policies, procedures, risks, controls, and processes into trusted, versioned knowledge assets (including knowledge graphs). You will sit at the intersection of product, engineering, and domain stakeholders, shaping the roadmap for Enterprise Knowledge and Agent Systems to transform structured and unstructured internal content into actionable intelligence that powers internal-facing agentic systems and automation.
Key Responsibilities
Product Leadership & Delivery
- Own the Product Strategy: Lead the product strategy and roadmap for the Enterprise knowledge platform (extraction, representation, validation, and consumption).
- Translate Internal Needs: Convert business requirements (e.g., policy interpretation, control mapping, risk insights) into clear product requirements, user stories, and acceptance criteria.
- Prioritise Workstreams: Drive delivery across multiple streams-extraction, ontology/graph, quality, and platform integration-ensuring measurable outcomes for internal efficiency.
- Define Success: Track metrics including coverage, accuracy, freshness, latency, and internal adoption rates.
Knowledge Extraction & Structuring (LLM-enabled)
- Internal Data Pipelines: Guide the development of pipelines that convert unstructured internal content into structured artefacts using LLMs and NLP techniques.
- Standards & Evaluation: Set standards for knowledge extraction and quality.