E2E Test Strategy Lead at Johnson & Johnson, focusing on enterprise performance management testing. Responsibilities include designing test strategies and leading execution in global projects.
Responsibilities
E2E Test strategy and Execution Lead for Enterprise Performance Management (EPM)
Design E2E Test strategy for implementation of EPM (Anaplan, SAP BW On Hana, Reporting AFO and SCA)
Lead the alignment of E2E Test strategy with EPM Business and Technical Product Owners, boundary Product teams, Chapter Leads of EPM transformation
Define and align test automation strategy and execution
Incorporate AI-driven test design & risk-based regression insights
Lead continuous improvement of E2E test strategy based on lessons learned from EPM releases
Establish strong governance for planning, preparation and coordination of execution of test cycles for EPM
Ensure accurate and compliant reporting of test planning and execution in JIRA
Build strong governance for communication to testers of solution readiness for test execution
Collaborate with stakeholders to communicate testing/cutover progress, flag and mitigate the risks for Go live
Requirements
7+ years of experience in Test strategy and execution coordination
Manager/Sr. Manager roles for Anaplan, SAP S/4H or/and SAP ECC implementation in Global organizations
7+ years of experience with test coordination for Finance processes (preferably for EPM)
2+ years of experience with test automation, proven track record with successful test automation implementation
Proficiency in test planning, execution, and defect tracking tools like JIRA/X-Ray
Strong analytical and problem-solving skills, with the ability to identify and mitigate testing-related risks and issues
Strong leadership and stakeholder management skills, and advanced presentation skills
Experienced in developing SDLC documentation
Familiarity with AI governance & compliance frameworks including model drift awareness, data sensitivity handling, and working within regulated/controlled environments following internal AI‑ML/GenAI guidelines.
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