Job description

About the role As a Product Owner – Gen AI Solutions (Insurance) , you will make an impact by defining the vision, strategy, and delivery roadmap for enterprise Generative AI products that drive measurable business value. You will be a valued member of the AI Solutions team and work collaboratively with client stakeholders, business leaders, data scientists, engineers, QA teams, and DevOps professionals to deliver innovative and responsible AI-powered solutions. In this role, you will: • Own and drive the product vision, roadmap, and backlog for Generative AI solutions, including intelligent assistants, chatbots, summarization tools, and other AI-enabled products. • Partner with business stakeholders and client teams to identify opportunities, define use cases, and align product outcomes with business objectives. • Translate business requirements into clear user stories, acceptance criteria, and functional requirements for AI-driven solutions. • Prioritize product backlogs based on business value, technical feasibility, risk, and dependencies, ensuring maximum impact and successful delivery. • Collaborate closely with cross-functional teams, including engineering, data science, QA, and DevOps, to deliver scalable, high-quality AI products. • Evaluate and validate AI-generated outputs to ensure accuracy, relevance, fairness, and alignment with business expectations. • Promote Responsible AI practices by ensuring compliance with data privacy, security, governance, and regulatory standards. • Participate in Agile ceremonies, including sprint planning, reviews, demonstrations, and retrospectives, while providing guidance and direction to delivery teams. • Monitor product performance, user adoption, and key success metrics to drive continuous improvement and product optimization. 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. Candidates must be available to work Eastern Standard Time (EST) business hours . 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: • Proven experience as a Product Owner or Product Manager within Agile/Scrum delivery environments. • Strong understanding of Generative AI technologies, including Large Language Models (LLMs), prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG). • Demonstrated ability to translate complex business challenges into scalable AI-enabled products and features. • Experience working with cross-functional teams consisting of software engineers, data scientists, machine learning engineers, QA, and DevOps professionals. • Strong stakeholder management, communication, and client-facing skills with the ability to influence decision-making. • Knowledge of Responsible AI principles, AI governance frameworks, and data privacy best practices. • Experience with Agile and product management tools such as Jira, Confluence, Azure DevOps, or similar platforms. • Strong analytical, problem-solving, and prioritization skills focused on delivering measurable business value. These will help you stand out • Experience delivering enterprise-scale AI or machine learning products. • Familiarity with cloud-based AI platforms such as Microsoft Azure AI, AWS AI/ML, or Google Cloud AI. • Certifications in Product Ownership, Agile methodologies, or AI-related technologies. • Experience defining and tracking AI performance metrics, adoption KPIs, and business outcome measurements. • Knowledge of emerging trends, best practices, and innovations within the Generative AI ecosystem. 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. *Please note, this role is not able to offer visa transfer or sponsorship now or in the future* Salary and Other Compensation : Applications will be accepted until August 30, 2026. The annual salary for this position is between $ 130,000 - $ 155,000 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: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: • 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 Disclaimer: The salary, other compensation, and benefits 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. 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. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

Own and drive the product vision, roadmap, and backlog for Generative AI solutions, including intelligent assistants, chatbots, summarization tools, and other AI-enabled products.
Partner with business stakeholders and client teams to identify opportunities, define use cases, and align product outcomes with business objectives.
Translate business requirements into clear user stories, acceptance criteria, and functional requirements for AI-driven solutions.
Prioritize product backlogs based on business value, technical feasibility, risk, and dependencies, ensuring maximum impact and successful delivery.
Collaborate closely with cross-functional teams, including engineering, data science, QA, and DevOps, to deliver scalable, high-quality AI products.
Evaluate and validate AI-generated outputs to ensure accuracy, relevance, fairness, and alignment with business expectations.
Promote Responsible AI practices by ensuring compliance with data privacy, security, governance, and regulatory standards.
Participate in Agile ceremonies, including sprint planning, reviews, demonstrations, and retrospectives, while providing guidance and direction to delivery teams.
Monitor product performance, user adoption, and key success metrics to drive continuous improvement and product optimization.
What you need to have to be considered:
Proven experience as a Product Owner or Product Manager within Agile/Scrum delivery environments.
Strong understanding of Generative AI technologies, including Large Language Models (LLMs), prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG).
Demonstrated ability to translate complex business challenges into scalable AI-enabled products and features.
Experience working with cross-functional teams consisting of software engineers, data scientists, machine learning engineers, QA, and DevOps professionals.
Strong stakeholder management, communication, and client-facing skills with the ability to influence decision-making.
Knowledge of Responsible AI principles, AI governance frameworks, and data privacy best practices.
Experience with Agile and product management tools such as Jira, Confluence, Azure DevOps, or similar platforms.
Strong analytical, problem-solving, and prioritization skills focused on delivering measurable business value.
These will help you stand out
Experience delivering enterprise-scale AI or machine learning products.
Familiarity with cloud-based AI platforms such as Microsoft Azure AI, AWS AI/ML, or Google Cloud AI.
Certifications in Product Ownership, Agile methodologies, or AI-related technologies.
Experience defining and tracking AI performance metrics, adoption KPIs, and business outcome measurements.
Knowledge of emerging trends, best practices, and innovations within the Generative AI ecosystem.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagilerestscrummachine learningjiraazureawsml

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave