Manager, Quality Engineering; Financial Tech & AI Automation

Job Description

Lennar is a Fortune 500® home builder dedicated to building quality homes, delivering exceptional customer service, giving back to communities, and fostering a culture of opportunity and growth. Its Finance Product & Engineering team powers the financial backbone of the company, operating mission‑critical platforms within FP&A, Accounting and Treasury, including Oracle JD Edwards Enterprise One (E1), Hyperion EPM, and Oracle Narrative Reporting.

• Design, write, and maintain comprehensive test plans, test cases, and test scripts for Oracle E1, Hyperion, and Narrative Reporting workflows.
• Build and own automated regression suites using tools such as Selenium, Tosca, UFT, or equivalent; integrate with CI/CD pipelines.
• Execute functional, integration, regression, performance, and UAT testing across Finance ERP environments.
• Perform end‑to‑end validation of data flows between Oracle E1, Hyperion FDMEE/DRM, and Narrative Reporting.
• Define and enforce data quality checks, reconciliation controls, and financial reporting accuracy benchmarks.
• Lead root‑cause analysis on defects; partner with developers and functional analysts to drive timely resolution.
• Create and maintain QE documentation including test strategies, defect tracking standards, metrics dashboards, and release sign‑off checklists.

• Build a QE team from the ground up—recruit, onboard, and develop QE engineers and SDET talent.
• Define roles, career paths, and competency frameworks for the QE function.
• Coach team members through code reviews, test case reviews, and QE best practices.
• Create a culture of quality ownership across the broader engineering and functional teams.
• Manage team capacity, sprint commitments, and delivery roadmaps aligned to project milestones.

• Evaluate, pilot, and implement AI‑powered testing agents and frameworks (e.g., LLM‑assisted test generation, self‑healing tests, intelligent defect triage).
• Develop a strategy for human‑AI hybrid QE delivery—identifying which test domains are best served by human judgment vs. AI automation.
• Stay current on emerging QE tools and AI developments; present findings and recommendations to engineering leadership.
• Explore agentic workflows for continuous monitoring of financial data integrity and automated anomaly detection in reporting outputs.

• Establish and socialize QE standards, testing gates, and definition‑of‑done criteria across the SDLC.
• Partner with Finance functional leads, project managers, and business analysts to clarify acceptance criteria and testing priorities.
• Manage defect lifecycle end‑to‑end in tools such as Jira; maintain clear traceability from requirements to test coverage.
• Report QE metrics—test coverage, defect escape rate, automation ROI, cycle time—to engineering and finance leadership.
• Support compliance and audit readiness by ensuring test evidence is captured and retained per SOX/internal controls requirements.
• Coordinate with Oracle support, third‑party vendors, and implementation partners on environment and testing dependencies.

• 7+ years of quality engineering / QA experience in ERP or enterprise finance systems environments.
• 3+ years of experience with Oracle JD Edwards Enterprise One (E1) in finance modules.
• 2+ years of hands‑on experience with Hyperion EPM products.
• Experience designing and implementing automated test frameworks (Selenium, Tosca, UFT, Playwright, or similar).
• Strong understanding of financial close processes, ERP integrations, and reporting data flows.
• Experience leading or mentoring QE team members; comfort owning team outcomes end‑to‑end.
• Proficiency with defect management and test management tools (Jira, Zephyr, qTest, ALM, or equivalent).
• Solid grasp of SDLC methodologies—Agile/Scrum, SAFe, or hybrid delivery models.

• Experience with Oracle E1 Orchestrator, Business Services, or BSSV integrations.
• Familiarity with Hyperion FDMEE / Data Management and DRM for data governance testing.
• Exposure to AI‑assisted testing tools or large…