VP, FC Detection and DE

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HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
We are currently seeking an experienced professional to join our team in the role of VP, FC Detection and DE.
Principal responsibilities
Set and own the AI product vision and AI-first roadmap for the FC Detection product portfolio, aligned to the future-state strategy, regulatory priorities and enterprise AI direction.
Lead AI-enabled product discovery with Financial Crime users, SMEs and delivery squads, redesigning detection journeys around AI rather than simply automating existing manual steps.
Shape AI-native and agentic product experiences (e.g., alert triage and disposition, adverse-media review and SAR narrative drafting), defining where agents act, where humans decide and how outcomes are evidenced.
Author product requirements for AI covering user outcomes, data needs, model and agent behaviour, evaluation criteria, guardrails and explainability requirements.
Apply thin-slice / MVP discipline: prioritise the backlog, define acceptance criteria and success metrics, and make evidence-based scale, iterate or stop decisions.
Own AI product testing and validation with engineering, data science and model risk partners, ensuring products are evaluated against baselines before they scale.
Shape investment cases and track value realisation (e.g., detection uplift, false-positive reduction, investigator productivity, time-to-decision and cost-to-serve).
Optimise data, model and cost trade-offs, and scale proven AI capabilities across products and markets through reusable patterns.
Coach product owners and product managers across the SVS to raise AI-native product maturity and consistency.
Partner with platform, architecture, cybersecurity and operations/support teams to ensure solutions are secure, compliant, observable and supportable in production.
Implement appropriate safety and data controls (e.g., data handling, privacy constraints, leakage prevention; and prompt-injection/grounding controls where GenAI is used).
Track and communicate delivery progress, risks and dependencies, escalating early to the SVS Lead with recommended mitigations.
Create reusable accelerators (templates, libraries, reference implementations) and share learnings to improve delivery speed and consistency across Financial Crime.
Requirements
Proven track record as a senior product manager or product owner delivering AI/ML or data-driven products from discovery through production and scale, ideally within financial services, risk or financial crime.
Strong AI / GenAI product literacy, including ML, LLMs, RAG and agentic workflows, and their capabilities, limitations, failure modes and evaluation approaches.
Experience owning a product vision and roadmap, using structured roadmapping, prioritisation and portfolio management techniques to sequence investment against outcomes.
Demonstrated expertise in product discovery and MVP / thin-slice methods, including PRDs for AI, acceptance criteria and evidence-based scale or stop decisions.
Strong ability to rapidly prototype, iterate with users, and then harden AI solutions towards production readiness.
Demonstrable experience taking products from discovery and MVP through validation, adoption, scaling and continuous improvement.
Strong understanding of AI and GenAI product concepts, including model capabilities and limitations, data dependencies, evaluation, human oversight and responsible adoption.
Working knowledge of AI safety and security risks (e.g., prompt injection, data leakage, privacy constraints) and how to implement practical technical mitigations.
Demonstrable ability to influence senior stakeholders and align teams across organisational, geographical and functional boundaries.
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