Bengaluru Karnataka Consultant enterprise risk advisory Jobs – 153 Open Jobs Today

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,Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag),Technology->AI-Responsible AI->Responsible AI->explainable ai,Technology->API Testing->RestAssured,Technology->Architecture->Architecture - ALL,Technology->AI-Generative AI->Artificial Intelligence - BASIC,Technology->Automated Testing->Automated Testing - ALL,Technology->Automated Testing->Test automation framework design,Technology->Enterprise Architecture->Digital Architecture,Technology->Mobile Automation Testing->Mobile Test Automation process,Technology->Mobile Testing->BDD, TDD, ATDD for Mobile Test Automation

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