Product Director - Document Intelligence

Essential Significant product leadership experience owning an enterprise AI, data, automation, document-processing or workflow platform from strategy through scaled adoption and measurable value. Demonstrated success engaging business and value-stream teams to identify, shape, prioritise and onboard high-value use cases through clear intake, self-service, co-build and higher-touch delivery paths. Strong understanding of intelligent document processing, including ingestion, OCR, classification, extraction, configuration, evaluation, human review and downstream workflow integration. Solid knowledge of, and product experience in, applying AI to automate end-to-end document processing, including large language models (LLMs), intelligent OCR, retrieval-augmented generation (RAG) and agentic document-processing workflows. Demonstrated success redesigning document-heavy journeys and translating user and process insight into reusable capabilities, roadmaps and sustained adoption. Experience leading platform convergence across internal and third-party capabilities, including disciplined reuse, build, buy, extend and retire decisions. Technical and architectural credibility across APIs, orchestration, model and prompt lifecycle, evaluation, observability, release controls and integrations. Experience delivering in a large, regulated organisation, embedding privacy, security, records, auditability, responsible AI and human accountability. Commercial and analytical acumen across investment cases, consumption economics, baselining, benefits attribution and outcome measurement. Proven ability to align senior business, operations, product and technology stakeholders across geographies through influence. Experience launching or scaling Document Intelligence, intelligent document processing, OCR or AI-enabled operations across a large enterprise. Experience with document-heavy banking or regulated workflows, such as onboarding, KYC, underwriting, payments, trade, legal, audit or operations. Experience designing federated platform models that balance enterprise reuse with value-stream autonomy. Demonstrated ability to learn rapidly and stay current with emerging industry trends, technologies and market developments in intelligent document processing Experience establishing quality frameworks covering accuracy, precision and recall, human review, feedback loops and continuous learning. Manages Complexity and Ambiguity: Distinguishes reusable platform needs from business-specific requirements and makes transparent trade-offs. Collaborates and Persuades: Builds alignment across platform and value-stream teams and resolves ownership and convergence decisions with evidence. Builds Effective Teams: Creates a strong multidisciplinary culture with clear roles and decision rights.