Key Responsibilities:
- Lead end to end enterprise QE transformation by assessing current capabilities benchmarking maturity and defining AI first target state blueprints across people process and technology
- Design intelligent governance and operating models that embed predictive autonomous quality practices aligned to business outcomes while driving rapid value through early wins
- Enable sustainable change through executive alignment change management transition and knowledge transfer strategies and reduced dependency on consulting support
- Additionally support growth through C suite advisory pre sales leadership creation of proprietary IP and market shaping via thought leadership and industry engagement
Technical Requirements:
- Mandatory Skills
- These are essential for baseline success in an enterprise QE advisory leadership role
- 15 years of QE experience with enterprise scale transformation exposure
- Demonstrated ability to lead and advise large complex organisations
- QE strategy and operating model design
- Defining multi year QE roadmaps governance frameworks and risk based quality strategies
- Quality economics expertise
- Cost of quality analysis ROI articulation and tying QE outcomes to business metrics cost speed resilience
- Risk based and outcome driven QE leadership
- Driving measurable improvements in defect leakage release velocity reliability and compliance
- Modern engineering fluency at advisory level
- Strong understanding of DevOps CI CD cloud native and platform engineering concepts to translate technical complexity into actionable quality guidance without hands on pipeline work
Additional Responsibilities:
- Good to Have Skills
- These enhance differentiation and future proof the role but are not strictly required for core execution
- AI driven quality engineering advisory
- Guiding adoption of intelligent testing predictive risk analytics and autonomous quality capabilities
- AI risk assurance and trust frameworks
- Understanding AI model quality bias detection and data quality as QE expands into AI enabled products
- Advanced quality intelligence and analytics mindset
- Leveraging observability telemetry and production insights to influence testing and governance strategies
- Innovation and value realization focus
- Ability to distinguish genuine AI driven lift from vendor hype and steer clients toward pragmatic value outcomes
Preferred Skills:
Foundational ->Artificial Intelligence->Responsible AI by Design,Foundational->Methodologies->Business Transformation,Foundational->Quality Assurance->Quality Assurance,Foundational->Quality Engineering->Quality Engineering Strategy Design,Foundational ->Strategy->Advisory Skills,Technology->AI-Agentic AI->Agent Engineering,Technology->AI-Agentic AI->AgentOps,Technology->Architecture->Architecture - ALL,Technology->Artificial Intelligence->Artificial Intelligence - ALL,Technology->Infrastructure-Transformation->Infrastructure-Transformation - ALL,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)
