QA- Kinaxis & Supply Chain Planning

Required Knowledge & Skills

• Kinaxis Platform QA Expertise
• Proven experience validating Kinaxis Rapid Response implementations across demand, supply, inventory, and control tower modules.
• Ability to design and execute end-to-end test scenarios covering planning cycles, exception management, and what-if simulations.
• Strong understanding of Kinaxis data models, planning logic, and configuration dependencies to support accurate test coverage.
• Experience testing forecast overrides, consensus demand, and approval workflows.
• Exposure to global inventory management scenarios, including multi-site and multi-region planning.
• (Preferred) Experience validating pharmaceutical demand and supply planning processes, including product lifecycle considerations, regulatory and lot/batch driven planning constraints, and understanding of quality critical planning impacts relevant to Pharma environments.
• Analytics, Reporting & KPI Validation
• Skill in validating planning metrics, KPIs, and dashboards, including those supporting S&OP / IBP processes, customer service performance, inventory and cost optimization.
• Ability to translate complex optimization outputs into clear, testable business outcomes.
• QA Leadership & Process Capabilities
• Test Strategy & Governance
• Experience defining and executing test strategies (SIT, UAT, regression, performance).
• Traceability between business requirements, test cases, and defects.
• Establishing QA standards and best practices for supply chain planning programs.
• Process Assessment & Continuous Improvement
• Capability to assess current supply planning processes and systems and identify gaps, risk areas, and opportunities for quality and performance improvement.
• Supporting process, people, and system validation during transformations.
• Collaboration & Execution
• Strong collaboration skills to work with business stakeholders, functional planners, IT and implementation partners.
• Ability to manage testing detail while maintaining end-to-end supply chain context.
• Analytical & Professional Skills
• Strong quantitative and analytical skills for test data creation, scenario analysis, and defect root cause analysis.
• Critical thinking and structured problem-solving capabilities.
• High attention to detail with the ability to link test outcomes to overall supply chain performance.