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Assistant Quality Assurance Manager (IT)

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About Us

Synatix is a fast-growing technology company building intelligent digital products for enterprise clients across Southeast Asia. Our engineering culture is rooted in quality, agility, and continuous innovation — and we are on an ambitious journey to embed AI-driven practices across every layer of our software delivery lifecycle. We operate with a squad/tribe/chapter model, enabling QA to serve as a quality partner embedded across cross-functional squads.

Role Overview The QA Assistant Manager bridges QA Team Leads and senior management, overseeing 2–3 QA teams (12–18 engineers) across manual, automation, AI-assisted, and specialised testing disciplines. You will translate organisational QA strategy into actionable execution plans aligned with product roadmaps and squads and tribes, drive AI and automation transformation, govern the QA chapter network within the tribe, and own quality reporting across multiple products — providing executive visibility into quality health, automation ROI, and AI tool adoption metrics.

Key Responsibilities

Team & Operations Leadership

  • Manage 2–3 QA teams (12–18 engineers) across manual, automation, AI-assisted, and specialised testing.
  • Conduct bi-weekly meetings with Team Leads reviewing metrics, blockers, shift-left adoption progress, and improvement initiatives.
  • Oversee resource allocation balancing workload across projects based on priority, complexity, and team capability.
  • Lead hiring and onboarding for QA roles including AI/automation specialist profiles aligned with business growth.
  • Conduct quarterly performance reviews providing constructive feedback and individual development plans.
  • Act as bridge between QA Team Leads and senior management — escalate risks, resource gaps, and transformation blockers.

Quality Strategy & Process Governance

  • Translate organisational QA strategy into actionable execution plans aligned with product roadmaps and squads and tribes.
  • Define standardised QA processes ensuring consistency across teams: entry/exit criteria, BDD standards, test design, and defect management.
  • Establish quality gates for stage-gate reviews preventing defect leakage to production.
  • Drive automation adoption achieving 70%+ regression automation coverage across all teams.
  • Coordinate with product and engineering leadership on release planning, quality commitments, and agile squad/chapter sprint planning.
  • Manage vendor relationships for test tools and environments: TestRail, BrowserStack, Testim, Tosca.

AI & Automation Transformation

  • Drive AI and automation transformation: define adoption targets for ChatGPT (Rovo MCP + Figma App), TestRail AI, Cursor AI, Testim, and Tosca; track productivity impact.
  • Establish standards and governance for AI tools: define AI quality KPIs (test generation rate, script generation efficiency).
  • Use AI tools to generate release readiness reports synthesising test coverage, defect trends, automation metrics, and risk indicators.
  • Apply AI-driven estimation models and risk prediction to improve sprint planning accuracy and quality forecasting.
  • Own quality reporting across multiple products providing executive visibility into quality health, automation ROI, and AI tool adoption.

Chapter & QaaS Governance

  • Govern the QA chapter network across multiple squads within the tribe — coordinate chapter leads, align chapter quality standards, and ensure consistency of QA practices across all squads.
  • Manage QaaS service delivery for the tribe — track squad satisfaction with QA services, identify service gaps, and work with QA Architects to evolve the service catalogue.
  • Chapter Network Governance: coordinate multiple QA chapter leads within a tribe; align chapter quality standards, facilitate cross-chapter knowledge sharing, and track chapter maturity.
  • QaaS Programme Management: manage QaaS service delivery metrics — squad adoption, service quality, SLA adherence, and continuous improvement based on squad feedback.

Technical Skills & Competencies

Strategy & Governance

  • Strategic test planning across 2–3 QA teams ensuring consistency, risk coverage, and AI/automation integration across all platforms.
  • AI Transformation Governance: establish standards for ChatGPT (Rovo MCP + Figma App), TestRail AI, and Cursor AI; define AI quality KPIs.
  • Automation Governance: establish coding standards and framework architecture for Testim, Tosca (UI) and Postman (API) across teams (70%+ coverage).
  • Shift-Left Governance: define and enforce BDD/TDD adoption targe
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