Citizen Developer (Finance) – RPA & AI Automation at MattelInc

The Opportunity:  What Your Impact Will Be:      • Identify and prioritize automation opportunities across Finance (AP/AR, close, reconciliations, reporting, master data, audit support), including candidates for AI augmentation (e.g., document understanding, variance narratives, triage, classification). • Build and maintain RPA workflows using approved low-code tools (e.g., UiPath, Power Automate, Automation Anywhere, Blue Prism) and associated connectors. • Partner with Finance and IT/CoE to pilot and scale AI-enabled automations such as: • Intelligent document processing (IDP) for invoices, statements, and support documentation • AI-assisted email/case triage and routing • Automated narrative generation for reconciliations/variance explanations (with human review) • Knowledge search/Q&A over approved finance procedures and policies • Document future-state processes (SOPs, process maps, user stories, acceptance criteria) including AI “human-in-the-loop” checkpoints. • Implement strong exception handling, audit logs, monitoring/alerting, and operational runbooks for both bots and AI-assisted workflows. • Execute unit testing and support UAT; assist with deployment and hypercare; support ongoing enhancements and incident resolution. • Ensure solutions meet SOX/internal controls, data privacy, model/data usage policies, and security requirements (including access controls and segregation of duties). • Track and report automation value (hours saved, cycle time reduction, error reduction), and for AI initiatives include quality measures (e.g., accuracy, exception rate, reviewer effort).Skills & Competencies • Process improvement mindset with practical automation delivery • Comfort learning and applying new AI capabilities responsibly • Strong written communication and documentation discipline • Stakeholder management across Finance, IT, Compliance, and Audit • Analytical thinking and structured problem-solvingTools (Examples) • RPA: UiPath / Power Automate / Automation Anywhere / Blue Prism • AI/IDP (examples): Document Understanding / IDP tools, approved GenAI assistants, workflow copilots • Data: Excel (advanced), Power BI/Tableau, basic SQL • Documentation: Visio / Lucidchart / Confluence • Systems: ERP (SAP/Oracle/NetSuite), ticketing (ServiceNow/Jira)KPIs • Hours saved / capacity released; cycle time improvements; error reduction • Bot run success rate; incident volume/time to resolution • Compliance adherence (audit findings/control exceptions) • AI workflow quality metrics (exception rate, reviewer rework, accuracy/consistency within defined thresholds)