Enterprise QA Innovation Lead, AI-Driven Transformation (Pune-based)

DataArt·India·Офис·1 нед. назад

About the Position

The Enterprise QA Innovation Lead is responsible for driving innovation and transformation across enterprise QA engagements. This role focuses on AI-driven QA, process optimization, automation strategies, and predictive quality intelligence for large-scale enterprise clients. The focus is on elevating QA from execution to a strategic, innovation-led function, improving efficiency, accelerating delivery, and reducing risk across complex integrated systems. This position is intended for Pune-based candidates who are available to work from the office.

About the Project

This project focuses on building and enhancing a scalable quality engineering ecosystem that supports modern product delivery. You will help shape automation practices and drive quality across the entire lifecycle while working with cross functional teams.

Responsibilities

Lead the design and implementation of AI-driven QA frameworks that optimize test coverage, detect anomalies, and generate predictive quality insights.
Drive process innovation across enterprise QA engagements, identifying opportunities to reduce manual effort, accelerate delivery, and standardize QA practices.
Collaborate with enterprise clients, internal QA teams, and engineering teams to integrate modern QA methodologies into the SDLC, including shift-left, continuous testing, and CI/CD pipelines.
Develop and deploy advanced automation strategies, leveraging AI-assisted test generation and intelligent regression testing for ERP, e-commerce, and cloud-native applications.
Define metrics and analytics frameworks to monitor QA efficiency, automation ROI, defect trends, and predictive quality indicators.
Evaluate and introduce emerging QA technologies, AI-driven tools, and best practices for enterprise software quality.
Act as a strategic innovation partner to enterprise clients, shaping QA approaches for complex environments and delivering measurable business value.
Lead QA modernization initiatives across enterprise accounts, focusing on process efficiency, automation, and predictive QA adoption.

Requirements

8+ years of QA experience, including hands-on experience with automation frameworks, AI-driven testing, and large-scale enterprise systems.
Demonstrated ability to implement AI-assisted QA tools, predictive QA, and continuous testing strategies.
Proven experience optimizing QA processes for ERP, e-commerce, and cloud-native applications.
Strong analytical and problem-solving skills, with experience defining QA metrics and predictive insights.
Experience collaborating with enterprise clients and internal teams to implement innovative QA solutions.
Excellent communication skills, able to convey technical innovation and strategic QA improvements to stakeholders.