About the Role

Weare building the next generation of corporate banking capabilities using a composable domain service approach, aligned to an agentic platform direction. Thisrepresentsa shift away from monolithic core systems towards modular, domain-aligned, API-first services delivered incrementally. 

As Senior Product Owner for Corporate Banking (Cash & Liquidity), you will own the outcomes,prioritiesand decision frameworks for critical banking capabilities across liquidity management and core cash operations. In an agentic platform world, many traditional Product Owner activities, such as requirements elaboration, story generation and test scenario creation, will be AI-assisted. The human role therefore shifts from managing artefacts to owning domain outcomes, agent behaviour, governance, businessrulesand measurable value. 

This role sits within the Corporate Banking Product Management function and reports to the Product Manager for Corporate Banking. 

Domain Scope

You willbe responsible forcapabilities across cash and liquidity, including:

• Nostro Management

• Bank Limits

• Notional Pooling

• Credit Lines (liquidity context)

• Cash Operations

• Virtual Accounts

This domain forms a foundational layer of the corporate banking platform, supporting real-time liquidity management, operational control, and client-facing cash services.Knowledge of bilateral and syndicated lending would be beneficial but is not essential.

Key Responsibilities

Domain Outcome Ownership 

• Own the outcome roadmap and product backlog for the cash and liquidity domain, ensuring priorities are tied to measurable business value. 

• Translate product strategy into clear domain outcomes, epics,featuresand acceptance criteria that support incremental delivery. 

• Make prioritisation decisions that balance client needs, architecture, delivery constraints, risk,governanceand long-term platform reuse. 

Agent Behaviour and Decision Governance 

• Define how AI-assisted or agentic behaviours should support users and business processes across the domain. 

• Own the decision governance model, including what can be automated, what requires human review and what must remain human-controlled. 

• Ensure agent behaviour is explainable,auditableand aligned to agreed business rules,policiesand controls. 

Human-in-the-Loop Operating Models 

• Define human-in-the-loop operating models for key workflows, including escalations, exceptions,approvalsand control points. 

• Clarify the role of users,servicesand agents across end-to-end workflows so automation supports accountable decision-making. 

• Validate proposed operating models with internal stakeholders, client-facingteamsand domain specialists. 

Business Rules, Policies and Knowledge Ownership 

• Own the business rules, policies, domainassumptionsand knowledge definitions that shape how the cash and liquidity domain behaves. 

• Work with Business Analysts to ensure requirements, workflows, decisionmodelsand test scenarios reflect intended business behaviour. 

• Maintain clarity of domain boundaries, cross-domaindependenciesand reusable service definitions within the wider architecture. 

Agentic Platform and AI Literacy 

• Use AI-assisted approaches to accelerate discovery, backlog refinement, requirements elaboration and validation, whileretaininghuman accountability. 

• Review and challenge AI-generated artefacts to ensure they areaccurate, complete,explainableand aligned to product strategy. 

• Identifyopportunities for reusable domain intelligence, decisionlogicand workflow automation across the platform. 

Engineering and Cross-Functional Collaboration 

• Work closely with engineering teams to deliver scalable, cloud-native services aligned to platform architecture. 

• Contribute to APIs, service contracts, event interactions, data structures and flows where these shape product behaviour. 

• Partner with Product Management, Business Analysis,architectureand client-facing teams tovalidatecapability and operating model assumptions.

What Success Looks Like

• A clear, prioritised backlog aligned to business outcomes

• Delivery of modular cash and liquidity services that can be reused across the platform. 

• Well-governed agentic and AI-assisted behaviours that are explainable,auditableand aligned to business rules and policies. 

• Practical human-in-the-loop operating models that support accountable decision-making and progressive automation. 

• Strong ownership of domain knowledge, decision frameworks, businessrulesand policies. 

• Tangible progress across foundational corporate banking capabilities and the broader agentic platform direction. 

Skills & Experience

Essential

• Provenexperience as a Product Owner or similar role in banking, financialservicesor enterprise software. 

• Strong knowledge in one or more of cash management, liquidity management, payments, transactionbankingor corporate banking operations. 

• Ability to own product outcomes, prioritisationdecisionsand delivery trade-offs in a complex domain environment. 

• Experience translating product strategy into epics, features, acceptance criteria, businessrulesand delivery guidance. 

• Strong understanding of end-to-end workflows, decision points, exceptionhandlingand operational controls. 

• Comfortable applying AI-assisted techniques whilemaintaininghuman accountability for domain intent and outcomes.

Desirable

• Experience with corporate banking or core banking platforms

• Familiarity with API-led, event-drivenor cloud-native architectures. 

• Exposure to liquidity structures such as notional pooling or intraday liquidity management. 

• Understanding of operational and regulatory considerations in liquidity. 

• Exposure to agentic workflows, AI-assisted product delivery, decision governance, rules engines or human-in-the-loop operating models. 

Working Model

You willoperatewithin a domain-aligned product structure, working alongside:

• Product Manager – Corporate Banking

• Business Analysts aligned to cash and liquidity

• Engineering squads delivering domain services

• Architecture,qualityand domain subject matter experts 

The role requires a balance of outcome ownership, backlog discipline, domain understanding, decisiongovernanceand cross-functional collaboration. It also requires the ability to work with AI-assisted delivery practices without losing human ownership of business intent,rulesand outcomes. 

Our Approach

We are building using a composable domain service model:

• Domain-aligned, modular service architecture

• API-first and event-driven design 

• Cloud-native deployment 

• Incremental delivery of business capability 

• Human-owned business outcomes, decision frameworks,rulesand policies 

• AI-assisted delivery artefacts underappropriate governance 

• Human-in-the-loop operating models that support accountable automation 

This enables banks to adopt new capabilities progressively, without requiring large-scale core replacement, while allowing product teams to focus more strongly on outcomes, explainabledecisionsand reusable domain intelligence. 

Why Join

• Opportunity to help shape a modern corporate banking platform

• Work on foundational capabilities in cash and liquidity that sit at the heart of corporate banking. 

• Be part of a strategic shift towards domain-led,composableand agentic banking architectures. 

• Help define how agentic behaviours, human-in-the-loop operating models and governed decision frameworks should work in banking. 

• Collaborate with experienced product, engineering,architectureand domain specialists.