Manager, Quality Engineering; Financial Tech & AI Automation
Job in
City of Albany, Albany, Albany County, New York, 12201, USA
Listed on 2026-06-13
Listing for:
Lennar
Full Time
position Listed on 2026-06-13
Job specializations:
-
IT/Tech
IT QA Tester / Automation, Data Analyst, Systems Analyst, Data Security
Job Description & How to Apply Below
Location: City of Albany
Key Responsibilities
- Design, write, and maintain comprehensive test plans, test cases, and test scripts for Oracle E1, Hyperion, and Narrative Reporting workflows including GL, AP, AR, fixed assets, budgeting, and close cycles.
- 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 with 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)—functional or technical QA in finance modules (GL, AP, AR, FA, Job Cost).
- 2+ years of hands‑on experience with Hyperion EPM products (Planning, Financial Management, or Narrative Reporting).
- Demonstrated 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 language model (LLM) integrations in QE workflows.
- Experience building QE functions at a greenfield stage—defining process, tooling, and team from scratch.
- Background in financial services, homebuilding, mortgage, or title industries.
- Knowledge of SOX IT General Controls (ITGCs) and automated controls testing.
- ISTQB, CSTE, or…
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