Product Manager, AI and Data - Trade/Channel

Who are we?

At Finastra, we are a global leader in financial services software, committed to broadening access to financial services and shaping the future of banking. Our solutions support over 7,000 customers, including 80% of the world’s top 50 banks, across more than 110 countries, powering mission-critical capabilities in Universal Banking, Payments, and Lending.

We are looking for a Product Manager, AI & Data – Trade & Channels to join our Product Management organisation in London on a hybrid basis. This is a high-impact role reporting to the Head of AI & Data Products, focused on shaping the strategy, roadmap, and execution of AI, data, and integration capabilities across Finastra’s Trade and Channels solutions.

This is an exciting opportunity for someone who can combine strong product management discipline with a passion for data, automation, analytics, and emerging AI technologies, and who thrives at the intersection of customer needs, technical delivery, and commercial outcomes.

About the Role

In this role, you will manage the full product lifecycle from concept through launch, ensuring solutions align with customer needs, market opportunities, regulatory requirements, and business priorities. You will identify opportunities to use data, AI, analytics, automation, and integration capabilities to improve customer outcomes, streamline operations, and accelerate business growth.

You will act as a connector across Product, Engineering, Data & Analytics, Architecture, Commercial, Client, and Implementation teams, bringing clarity and structure to cross-functional initiatives. You will help enhance product value, improve interoperability, and support Finastra’s broader AI and platform modernisation strategy across Trade and Channels solutions.

Key Responsibilities

• Own and manage the product roadmap for AI, data, and integration capabilities within Trade and Channels products.
• Manage the full product lifecycle from market assessment and business case development through go-to-market execution, adoption, and continuous enhancement.
• Develop product strategies that support customer growth, operational efficiency, revenue objectives, and broader platform modernisation priorities.
• Identify market opportunities through customer feedback, market research, competitive analysis, advisory forums, workshops, and industry trends.
• Translate business requirements into prioritised product features, user stories, product enhancements, and measurable success metrics.
• Identify and evaluate AI, machine learning, automation, analytics, and data-led use cases that improve customer experiences, risk management, decision-making, and operational efficiency.
• Partner with Data & Analytics, Engineering, and Architecture teams to define data requirements, integration requirements, APIs, workflows, interoperability standards, and AI model deployment needs.
• Ensure AI and data capabilities are scalable, secure, and aligned with responsible AI standards, governance requirements, regulatory expectations, and enterprise architecture standards.
• Support cross-product integration initiatives that connect Trade and Channels solutions with other Lending and Banking products.
• Serve as a key product contact for customers, sales teams, implementation teams, and industry stakeholders, supporting product positioning, messaging, demonstrations, collateral, and sales enablement.
• Lead complex cross-functional initiatives involving Product Strategy, Engineering, Architecture, Commercial, Client Services, Marketing, and customer-facing teams.
• Provide ongoing reporting and executive updates on roadmap progress, risks, dependencies, product performance, adoption, customer value realisation, and business outcomes.
• Develop documentation, release plans, feature specifications, business cases, and operational processes that support product delivery and continuous improvement.
• Support vendor evaluation and strategic technology partnerships where appropriate.

What You Bring

• Significant experience in Product Management, Product Strategy, Data Products, AI/ML solutions, or related technology disciplines.
• Experience within financial services, fintech, transaction banking, trade finance, corporate banking, banking channels, payments, or enterprise software environments.
• Strong understanding of product management principles, Agile methodologies, software development lifecycles, roadmap management, requirements definition, and customer-facing product launches.
• Experience building business cases, defining success metrics, using data to drive decision-making, and leading product initiatives from concept through execution and adoption.
• Familiarity with APIs, integrations, cloud platforms, analytics solutions, data architectures, enterprise SaaS platforms, and platform-based product delivery.
• Experience working cross-functionally with engineering, architecture, data, commercial, sales, implementation, and client-facing teams.
• Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to turn complex requirements into clear product priorities.
• Exposure to AI/ML technologies, generative AI, workflow automation, analytics platforms, or data-driven product development would be highly beneficial.
• Knowledge of Trade Finance, Trade Processing, Corporate Banking, Payments, Channels, Supply Chain Finance, Treasury solutions, or banking regulatory and compliance requirements would be advantageous.