Client: Our client is one of the largest professional certification associations in the finance industry globally and uses DataArt as its primary technology partner.
Project overview: 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.
- Position overview: 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.
Technology stack: Playwright MCP, TypeScript, CI CD pipelines, test automation frameworks, Git, agile tools and practices
- 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.
- 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.
- Nice to have: Experience with AI testing tools such as Playwright MCP, Cursor, or equivalent.
-
Proven track record in QA digital transformation initiatives.
