Technical Lead, IT​/Tech, AI Business & Operations

Job Title

Must Have Technical/Functional Skills

5–8 years of overall experience in test automation, regression testing, or quality engineering, with at least 2–3 years in an enterprise governance, architect, or standards role. Experienced in working in a TCOE environment. Proven experience defining and enforcing enterprise wide regression and automation strategies, frameworks across multiple applications, portfolios, or vendors. Prior hands on automation background earlier in career, providing credibility to govern standards and challenge delivery teams (execution experience required historically, not in current role).

Experience operating in large, distributed Agile and hybrid delivery environments. Exposure to AI assisted testing or intelligent automation initiatives, including governance of usage rather than development. Experience participating in release readiness reviews, regression sign off forums, and risk acceptance discussions.

Roles & Responsibilities

Enterprise Regression Governance

Definition of enterprise regression scope and coverage models. Governance of critical business flow coverage across portfolios and releases. Regression readiness governance (coverage, data, environment alignment). Cross portfolio regression coordination and conflict resolution.

Automation Governance & Standards

Definition and enforcement of automation standards, frameworks, and design principles. Governance of script redundancy, flakiness, and maintainability. Tracking and governing self healing automation adoption. Automation lab governance (standards, access, compliance).

AI Governance in QA

Governance of AI usage in QA (e.g., test generation, defect prediction, self healing). Definition of AI quality, ethics, explainability, and auditability standards. Approval and oversight of AI use cases from a risk and compliance perspective. Tracking AI KPIs, ROI, and adoption maturity.

Metrics, Reporting & Continuous Improvement

Definition and tracking of performance KPIs, risk indicators, and compliance metrics. Translating performance data into executive level insights. Using production feedback to drive governance improvements.

CI/CD & Dev Ops Governance

Governance of automation and regression integration into CI/CD pipelines. Definition of automation related quality gates and release criteria. Collaboration with Dev Ops teams on pipeline compliance and standards.

The role must govern, standa rdize, and audit usage of these tools — not run tests

Automation Tools:

UFT

TOSCA

LeanFT

Selenium

Playwright

CI/CD & Dev Ops Ecosystem:

Azure Dev Ops / equivalent (governance exposure)