Principal Engineer, QATest Engineering

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at .

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Job Sub Function:

Job Category:

All Job Posting Locations:

Job Description:

E2E TEST STRATEGY AND EXECUTION LEAD SR. MANAGER

JOB DESCRIPTION

PURPOSE OF THE ROLE: E2E Test strategy and Execution Lead for Enterprise Performance Management (EPM)

DELIVERABLES:

• TEST STRATEGY

• 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 (e.g. Cutover Lead Build Lead PMO) other Transformation Programs that have interdependencies with EPM Transformation.

• Define and align test automation strategy and execution.

• Incorporate AI-driven test design & risk-based regression insights. Use approved GenAI tools to autodraft test scenarios from requirements and perform AIassisted impact analysis to identify highrisk regression areas aligned with enterprise Responsible AI and governance guidelines.

• Lead continuous improvement of E2E test strategy based on lessons learned from EPM releases.

TEST EXECUTION

• Establish strong governance for planning preparation and coordination of execution of test cycles for EPM (all test cycles including FIT BST UAT regression and performance testing);

• 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;

• Lead the development and operations of automated testing in Anaplan.

• Collaborate with stakeholders to communicate testing/cutover progress flag and mitigate the risks for Go live;

• Define and drive the implementation of test automation frameworks and tools to accelerate and speed up testing / deployment.

• Leverage GenAI to accelerate test execution activities. Use GenAI to draft test steps summarize defects cluster duplicates and generate cycle-level execution reportswhile keeping humans in the loop for final validation.

• Enable AI-assisted communication & reporting using approved platforms. Generate meeting notes test progress summaries and executive updates through sanctioned AI tools only complying with transcript and GenAI acceptableuse policies.

• Ensure all testing activities adhere to industry best practices and quality standards;

• Conduct post-implementation reviews to identify lessons learned and opportunities for improvement.

PREVIOUS EXPERIENCE:

• 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. Values and understands the importance of documentation and knowledge management.

• Familiarity with AI governance & compliance frameworks including model drift awareness data sensitivity handling and working within regulated/controlled environments following internal AIML/GenAI guidelines.

Required Skills:

Preferred Skills: