Boku - Payments Transformation Manager – AI & Automation

• Own the product vision and strategy for Boku’s transaction data domain, enabling fully enriched transaction lifecycles and supporting safeguarding, FX, cash forecasting, and wider finance and business data use cases. • Work closely with Finance, Treasury, Compliance, and Operations stakeholders to identify data gaps, pain points, and define clear, outcome-focused requirements. • Define and maintain the canonical transaction lifecycle, including business events, states, and data enrichment standards. • Own and prioritise the backlog and roadmap for an engineering delivery team, ensuring alignment to business value, regulatory needs, and strategic outcomes. • Partner with Engineering and Data teams to deliver scalable, event-driven solutions and provide interfaces that enable business teams to self-serve their data requirements. • Drive end-to-end delivery from discovery through to release, adoption, and measurable impact. • Collaborate with other Product Managers across the business to define domain data ownership and ensure required data is captured and delivered via their roadmaps. • Provide clear stakeholder communication, track success metrics (e.g. data completeness, STP, safeguarding accuracy), and drive continuous improvement. • Measures of Success: • % of transactions fully enriched with required lifecycle data (e.g. settlement terms, FX, fees, safeguarding attributes) at or near transaction time. % to be agreed – roadmap of progress expected • % of transaction lifecycle events captured and published accurately and immutably (event completeness and data quality). % to be agreed – roadmap of progress expected • % reduction in manual data enrichment and intervention by Operations/PayOps. % to be agreed – roadmap of progress expected • Safeguarding accuracy: % of safeguarding balances fully traceable to transaction-level data, and reconciliation differences within SLA thresholds. Targets to be defined • Improvement in cash forecasting accuracy (expected vs actual cashflows variance). Targets to be agreed with Treasury • Create, define, own and maintain product artefacts for Transaction Data: Vision, Lifecycle Model, Roadmap, Backlog • Maintain at least 2 sprints worth of refined and prioritised engineering work at any given time • Key Skills, experience and Competencies: • 5+ years of Product Management experience, operating at a senior level and leading large, strategic initiatives end-to-end • Experience working in a fast-moving fintech or payments environment, with exposure to scaling products and platforms • Strong understanding of transaction lifecycles, settlement flows, and financial operations (e.g. safeguarding, reconciliation, or accounting processes) • Experience working with complex data models and defining data requirements across multiple stakeholders and domains • Ability to translate regulatory, financial, and operational requirements into clear product specifications and deliverable outcomes • Skilled at backlog ownership, prioritisation, and working closely with engineering teams to deliver scalable solutions • Comfortable operating in cross-functional environments and aligning multiple Product Managers on shared data ownership and dependencies • Confident communicator able to engage senior stakeholders across Finance, Treasury, Compliance, and Engineering • Analytical mindset with the ability to identify data gaps, assess impact, and drive measurable improvements in data quality and process efficiency