Key Responsibilities
Test Program Leadership
- Own and drive the end‑to‑end test strategy and execution across multiple transformation workstreams
- Establish quality governance frameworks aligned with release plans and milestones
- Lead large, distributed QA teams and manage multiple vendor partners
- Ensure delivery against fixed‑bid / outcome‑based contracts (scope, cost, timelines, quality)
- Drive cost optimization, productivity improvement, and margin protection
- Manage testing budgets, forecasting, and resource utilization
- Govern scope, change control, and risk mitigation
Demand Management & Resource Planning
- Manage testing demand across releases and workstreams
- Lead capacity planning, resource forecasting, and skill‑based allocation
- Align resource scheduling with release cycles and delivery milestones
- Address demand‑supply gaps and lead ramp‑up and skill transformation initiatives
AI‑First Quality Engineering
- Drive adoption of AI‑enabled testing and intelligent automation
- Define and execute the AI roadmap for Quality Engineering
- Build a highly automated ecosystem across functional and non‑functional testing
- Promote shift‑left and shift‑right testing practices
Stakeholder & Client Engagement
- Act as the primary QA leader for senior client stakeholders
- Provide strategic guidance on quality transformation initiatives
- Lead quality reviews, defect governance forums, and release readiness discussions
- Deliver executive dashboards and actionable quality insights
Risk & Quality Management
- Proactively identify risks and implement defect‑prevention mechanisms
- Use predictive quality metrics and AI‑driven analytics
- Ensure strong governance across the entire testing lifecycle
Required Skills & Experience
- 18+ years in Quality Engineering & Testing
- 8+ years leading large transformation programs
- Strong telecom domain experience
- Proven leadership managing 100+ member distributed QA teams
- Experience with fixed‑bid / outcome‑based delivery models
- Expertise in AI‑driven testing and modern QA practices
- Strong program governance and senior stakeholder management
- Experience managing multi‑vendor ecosystems
- Deep expertise in demand management, capacity planning, and workforce scheduling
- Strong Agile delivery background
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
