Lead, Data & AI Solutions – Enterprise Risk

About the Role:

The Enterprise Risk Management (ERM) function supports Payoneer’s enterprise-wide risk governance, risk reporting, risk event management, issue management, risk assessments, controls and oversight processes.

This role will drive data, analytics, automation and AI-enabled transformation initiatives across the Risk & Resilience department. The role will lead enterprise risk data projects, strengthen risk analytics and reporting capabilities, and design and build practical AI-enabled solutions that improve Governance, Risk and Compliance (GRC) processes.

This is a hands-on role for someone who can combine GRC process knowledge, system administration, data analysis, AI-enabled solution building and stakeholder engagement.

The successful candidate will help improve how risk and governance teams operate by simplifying workflows, improving data quality, automating manual processes, enhancing reporting, and identifying where AI or in-house tools can complement existing GRC platforms.

The role is well suited to someone who is analytical, technically curious, comfortable working in a fast-paced fintech environment, and motivated to build practical tools that improve governance, risk management, compliance, audit and decision-making.

What you’ll do:

• Lead enterprise risk data and analytics projects from problem definition and requirements gathering through data sourcing, analysis, solution design, implementation and adoption.
• Support the development and execution of ERM’s data, analytics, automation and AI transformation roadmap, including identifying and prioritising high-value initiatives.
• Design and develop risk analytics, dashboards and management reporting across areas such as enterprise risk assessments, risk events, issues, controls, Key Risk Indicators (KRIs), audit findings, remediation activities, root causes and emerging risks.
• Analyse risk and GRC data to identify trends, risk concentrations, recurring themes, control weaknesses, emerging risks and opportunities for management action.
• Design and implement automated processes for data collection, transformation, validation, analysis, reporting and stakeholder follow-up.
• Lead the design, prototyping and delivery of AI-enabled GRC solutions across risk assessments, issue management, risk event analysis, control monitoring, KRI management, reporting, knowledge management, classification, summarisation and thematic analysis.
• Translate business and risk requirements into clear solution designs, workflows, user journeys, data requirements, functional specifications, prototypes and acceptance criteria.
• Build and test practical solutions using data analytics, business intelligence, automation, generative AI and low-code or no-code development capabilities.
• Partner with Technology, Data, AI, Security and Privacy teams to determine appropriate technical approaches, data sources, integrations, architecture and implementation models.
• Establish appropriate controls for AI and automated solutions, including data sensitivity, privacy, security, access manage