Quality Assurance Lead Consultant

Why NeuraFlash, Part of Accenture: At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, Amazon, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies. We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we’ve earned the distinction of being Salesforce’s #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space. Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you’ll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you're developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you’re ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you. We're looking for a senior, hands-on QA Lead Consultant to own end-to-end quality strategy for a large, multi-stream Salesforce and AWS Connect program. You'll serve as the quality gatekeeper across functional, SIT, E2E, UAT, regression, performance, load and go-live activities — while equally comfortable stepping in as a hands-on contributor — leading by example, not just by direction. You'll lead quality across multi-cloud Salesforce solutions (Sales, Service, Revenue, Experience Cloud, Field Service, Digital Experience, Service Cloud Voice, etc.) and AWS Connect contact center implementations, including IVR telephony, enterprise integrations, and GenAI/Agentic AI features. Key Responsibilities QA Strategy & Leadership Independently define and stand up the QA program from scratch — QA charter, tool setup, test strategy, quality gates, and release readiness criteria — without waiting for direction Serve as the single QA point of contact for clients, program managers, and technical leads simultaneously, acting as a trusted quality advisor with a seat at the program table Lead and mentor QA teams of 5+ members while seamlessly stepping in as a hands-on contributor when the project demands it — leading by example, not just by direction Own QA program management end-to-end — resource planning, risk management, defect governance, cross-functional coordination, and stakeholder reporting Proactively maintain live QA dashboards and independently prepare QA status reports for weekly program reviews, steering committees, and go/no-go decisions — without being asked Define and track quality KPIs — defect escape rate, test coverage, automation ROI, and cycle time — raising risks and blockers before they become program issues Coordinate environment and release strategy — managing sandbox and staging environments, collaborating with DevOps/release teams on deployment schedules, change sets, and testing windows Lead go-live readiness assessments — compiling test completion metrics, open defect risk summaries, and formal sign-off documentation Own hypercare QA support post-launch — triaging production issues, coordinating hotfix validation, and maintaining a known issues log with clear severity assessments communicated to stakeholders Apply sampling strategies, accuracy benchmarking, and prompt regression testing to validate LLM-powered and Agentic AI features; leverage GenAI tools to accelerate test case generation, documentation, and overall QA productivity Test Design & Execution Independently author detailed, scenario-based test cases and traceability matrices mapped to SOW scope — covering functional, integration, regression, performance, and UAT cycles across all workstreams Write thorough negative, boundary, and edge case scenarios across complex multi-cloud and contact center workflows — not just happy path coverage Lead exploratory testing for complex and ambiguous workflows, applying risk-based judgment to prioritize coverage where business impact is highest Validate platform configurations, business rules, routing logic, automation workflows, integration touchpoints, and data flows across the full solution stack Own end-to-end testing of integration layers — API request/response validation, middleware transformations, screen pop behavior, and bidirectional data sync across connected systems Lead SIT, E2E, UAT, regression, performance, load, and go-live testing activities across all release cycles Facilitate UAT readiness sessions with business stakeholders — walking through test scenarios, supporting non-technical users, and driving structured sign-off Own full defect lifecycle — creation, triage, prioritization, SLA tracking, root cause tagging, and trend analysis — enforcing defect governance and escalation protocols throughout Produce meaningful defect health reports and quality metrics summaries for program leadership and client stakeholders at every stage of the delivery Required Qualifications 7+ years in QA engineering with at least 4 years of hands-on experience on Salesforce and/or AWS Connect implementations Led QA on at least two enterprise Salesforce multi-cloud programs managing 5+ direct QA team members Hands-on lead experience delivering at least one contact center and IVR telephony project using Service Cloud Voice, Amazon Connect, or comparable platforms such as Twilio