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)