About the role
As a Program Manager - AI Transformation in Life Sciences Testing & Validation, you will make an impact by leading enterprise-scale testing and validation programs across pharmaceutical and life sciences organizations. You will be a valued member of the Quality Engineering & Assurance team and work collaboratively with business stakeholders, regulatory teams, project leaders, validation specialists, and technology partners to ensure high-quality, compliant, and audit-ready solutions.
In this role, you will:
Lead end-to-end testing and validation programs across multiple systems and workstreams, ensuring alignment with quality, compliance, and business objectives.
Develop and execute validation and testing strategies supporting regulated environments, digital transformation initiatives, and Computer Software Assurance (CSA) adoption.
Drive governance, stakeholder engagement, risk management, and program reporting to ensure successful delivery of testing outcomes.
Guide the adoption of test automation, AI-enabled testing, and modern quality engineering practices while maintaining compliance with GxP regulations and validation standards.
Partner with business, quality, and regulatory stakeholders to ensure systems supporting clinical, regulatory, manufacturing, and digital operations remain compliant, validated, and audit-ready.
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a Remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.
What you need to have to be considered
15+ years of experience in Testing, Quality Engineering, and Validation within the pharmaceutical or life sciences industry, including 5+ years in leadership or management roles.
Deep expertise in Computer System Validation (CSV), Computer Software Assurance (CSA), GxP regulations, FDA and EMA requirements, 21 CFR Part 11, and GAMP 5.
Proven experience leading large-scale testing and validation programs across clinical, regulatory, manufacturing, quality, or digital platforms in regulated environments.
Strong stakeholder management, governance, risk management, resource planning, and project delivery experience.
Knowledge of ALM/Test Management tools and experience supporting digital transformation initiatives.
Experience validating AI/ML-enabled solutions with consideration for model accuracy, bias, explainability, drift, and revalidation requirements.
Experience defining risk-based testing and validation strategies for commercial off-the-shelf (COTS), configured, and customized systems.
Excellent communication, leadership, and executive reporting skills with the ability to influence cross-functional stakeholders.
Bachelor’s degree in computer science, Life Sciences, Engineering, or a related field.
These will help you stand out
Experience implementing or driving Computer Software Assurance (CSA) transformations within pharmaceutical organizations.
Exposure to test automation frameworks and quality engineering practices in regulated environments.
Knowledge of AI-enabled testing capabilities, including AI-assisted test design, self-healing automation, and defect prediction technologies.
Certifications such as PMP, ISTQB, or relevant Quality, Validation, or Regulatory Compliance credentials.
Advanced degree in Life Sciences, Engineering, Computer Science, or a related discipline.
Experience supporting the transition from paper-based validation processes to digital ALM and test management platforms.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation
The annual salary for this position is between $116,100 to $183,500 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap 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, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai 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.
