• Execute functional testing across SAP FICO modules in ECC or S/4HANA landscapes • Validate General Ledger, Accounts Payable, Accounts Receivable, and Vendor Payment processes • Test and validate SAP Fiori applications • Query backend SAP tables to validate and troubleshoot financial data • Write detailed test cases and test steps to support functional validation • Log and track defects using Rally or JIRA • Collaborate with cross-functional teams including functional analysts and developers • Communicate testing results clearly to stakeholders

• Review and audit all department activities, including vendor profile quality, documents provided and process for submittal to ensure compliance with quality assurance standards. • Responsible for running and distributing monthly department exception reports to Vendor Management leadership and internal stakeholders in a timely manner and report any anomalies. • Conduct first level review and evaluation of various vendor compliance documents throughout vendor oversight lifecycle (i.e., new vendor documents, annual re-certification, and vendor status change documents) to ensure compliance with all company policies and procedures. • Review all vendor compliance documents processed by team in system of record and report any inconsistencies to senior management for coaching opportunities and/or make recommendations of system or process modifications. • Review and process vendors’ contracts/SLAs/SOWs to ensure compliance with related key performance indicators as established for the vendor. • Responsible for preparing and submitting necessary documentation to automate department reports and vendors’ scorecards. • Lead the end-to-end process of developing reports and scorecards with internal support teams (i.e., IT, Business Intelligence, etc.) and business unit leaders. • Review and respond to internal and external audit requests received by the department as needed. • Evaluate monthly published scorecards and prepare Monthly Vendors’ Oversight Executive Summary. • Process vendor communication requests, including tracking acknowledgements as required. • Oversee the process of reviewing vendors’ on-site audit reports provided by Risk Management to ensure proper notification to internal stakeholders and tracking of any vendor remediation plans. • Assist management with the review of department's processes, policies, procedures and reports for accuracy and completeness to identify opportunities for associate training or process improvements. • Perform other duties and special projects as assigned.

• Triage output from our AI offensive engine, validating real vulnerabilities and separating signal from noise. • Vulnerability analysis of false positives to identify root causes, improve detection logic, and refine model behavior. • Collaborate with Product, R&D, and AI teams to provide structured feedback on exploit quality, edge cases, and system behavior. • Analyze discovered vulnerabilities in depth and support AI driven reporting • Support customers by helping them understand findings, reproduce issues, and validate impacts. • Develop repeatable methodologies for evaluating exploit chains, proof-of-concept behavior, and attack patterns. • Own investigations end-to-end, from initial triage to deep-dive analysis to final recommendations for fix or model improvement. • Continuously research new vulnerability classes, exploitation techniques, and reverse engineering workflows to help evolve the platform.

• Design AI-based systems that: • Explore UI, APIs, workflows, and edge cases without pre-defined scripts • Generate and execute tests dynamically from product behavior • Discover bugs through exploration, not just assertions • Move beyond static automation into self-directed testing systems • Build QA agents that: • Continuously test features as development agents build them • Provide structured, actionable feedback in real time • Loop with development agents until quality thresholds are met • Own the QA feedback loop as a first-class system, not a manual process • Validate quality across: • Web UI • Backend services • APIs • Data integrity • End-to-end user journeys • Ensure the system works as a cohesive product, not just isolated components • Automatically identify: • Functional defects • Workflow breaks • Regression issues • Performance and reliability risks • Ensure issues are: • Reproducible • Verified • Clearly explainable to humans • QA does not stop at “test execution” • Build systems that: • Run continuously • Adapt as the product evolves • Increase coverage automatically over time • Define what “release-ready” means • Block releases when quality is insufficient — with evidence • Raise risks early, clearly, and decisively