We are seeking a highly skilled and experienced Senior Back Office Quality Assurance Consultant (IC4) to lead quality assurance across complex Back Office platforms, integrations, and business-critical operations. This is a senior individual contributor role for someone who demonstrates strong ownership, sound judgment, and the ability to operate independently in fast-paced, high-impact environments.
The successful candidate will play a critical role in ensuring delivery quality, production stability, and operational excellence, while proactively identifying risks, driving automation, and influencing stakeholders across multiple systems and business domains.
This role is ideal for a QA professional who thrives on deep technical and strategic contribution, values continuous improvement, and has a strong interest in AI-driven QA and modern testing practices.
What you will do
Lead end-to-end QA activities across complex Back Office systems, workflows, integrations, and enterprise business processes.
Develop and execute effective test strategies, test plans, and validation approaches aligned with business and technical objectives.
Ensure release readiness, production stability, and high-quality delivery outcomes across multiple initiatives.
Manage competing priorities between BAU support and project deliverables while maintaining QA standards.
Apply risk-based testing methodologies to prioritize testing efforts effectively.
Identify quality risks, dependencies, gaps, and release concerns early, and provide actionable mitigation plans.
Take initiative during critical delivery situations such as unclear requirements, testing blockers, integration issues, or release instability.
Partner closely with business stakeholders to align on quality expectations and release readiness.
Act as a trusted QA advisor, communicating risks, progress, and recommendations clearly.
Influence decisions through expertise, data-driven insights, and effective communication.
Demonstrate strong individual contributor leadership through accountability, professionalism, and ownership.
Mentor and support QA engineers through coaching, reviews, collaboration, and knowledge sharing.
Promote a culture of continuous learning, operational excellence, and quality-first thinking.
Drive the adoption of AI-powered QA solutions and intelligent automation practices across testing processes.
Champion automation-first and AI-assisted testing approaches to improve efficiency, scalability, and coverage.
Identify opportunities to reduce manual effort and optimize QA processes through automation and innovation.
Contribute to the enhancement of QA frameworks, standards, tools, and delivery practices.
- Collaborate with engineering and technology teams to integrate automation and AI capabilities into CI/CD pipelines and QA workflows.
- Evaluate emerging technologies, automation platforms, and AI-driven testing tools to improve quality engineering practices.
What you will bring
8+ years extensive Quality Assurance experience.
Strong practical knowledge of risk-based testing methodologies.
Strong analytical, critical thinking, and problem-solving capabilities.
Excellent verbal and written communication skills with the ability to influence stakeholders across multiple levels.
Hands-on experience in QA automation and independent test strategy implementation.
Familiarity with modern QA tools, defect tracking systems, and test management platforms.
Understanding of Agile methodologies, CI/CD pipelines, and software development lifecycle (SDLC) practices.
Exposure to AI-assisted QA tools, intelligent automation, or machine learning-enabled testing solutions is highly desirable.
Proven experience supporting finance systems, including SAP, Zuora, and OneSource applications.
Expertise in designing and implementing test automation solutions using Worksoft.
Good foundation for mentoring or guiding QA team members in technical delivery and best practices.
Provide mentorship and guidance to QA engineers through coaching and knowledge sharing.
Promote a culture of quality-first thinking, continuous learning, and operational excellence.
Lead by example as a high-impact individual contributor.
Exposure to platforms such as SAP S/4HANA, Salesforce, and AI-driven tools.
Experience in QA transformation, process optimization, or operational improvement initiatives.
Knowledge of scripting, automation frameworks, and modern testing technologies.
- Experience in AI-driven testing or intelligent process automation implementations.
Desirable
