About the role
As a Senior Product Manager you will make an impact by leading the strategy, development, and optimization of AI agent and large language model powered products that improve provider workflows and deliver measurable value for customers and society. You will be a valued member of the product organization and work collaboratively with engineering, business, data, risk, compliance, and domain stakeholders to define product outcomes, shape data-driven strategies, and deliver secure, scalable, and compliant solutions.
In this role, you will:
- Define and drive the product vision, roadmap, and priorities for AI agent and large language model enabled solutions aligned to business goals and user needs.
- Partner closely with engineering, business, and domain stakeholders to translate complex requirements into clear product strategies, user stories, and measurable outcomes.
- Lead backlog creation, prioritization, sprint planning, and release management to ensure high-quality and iterative product delivery.
- Establish success metrics, monitor product performance, and use data, customer feedback, and operational insights to continuously improve product value and user experience.
Ensure products are designed and delivered with a strong focus on security, compliance, responsible AI, scalability, and workflow efficiency within a hybrid work environment.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position in a client or Cognizant office. 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
- Strong experience in product management, product ownership, or business analysis, with a proven track record of leading digital products from concept through delivery and optimization.
- Experience defining product vision, roadmaps, MVPs, and backlog priorities for complex enterprise solutions in Agile environments.
- Strong knowledge of AI and large language model powered tools and workflows, including prompt engineering and the ability to translate AI capabilities into practical product features and user outcomes.
- Experience working with tools such as JIRA or Azure DevOps for backlog and sprint management, and Confluence for documentation and knowledge management.
- Ability to define product metrics, KPIs, and OKRs, and use SQL, reporting, or business intelligence tools to support decision-making and product improvement.
- Experience gathering and translating business requirements into user stories, acceptance criteria, process maps, use cases, and workflow models.
- Strong understanding of AI governance, responsible AI, compliance documentation, and risk management in regulated or enterprise environments.
- Ability to collaborate effectively with cross-functional stakeholders including engineering, operations, business leaders, and end users.
- Experience supporting UAT, release planning, go-to-market coordination, and executive reporting.
- Domain experience in Healthcare / Life Sciences – Provider.
These will help you stand out
- Experience with workflow automation tools such as Power Automate and familiarity with low-code or no-code platforms including Power Apps or Retool.
- Working knowledge of data modeling, entity relationship diagrams, REST API and integration concepts, and DevOps or CI/CD fundamentals.
- Experience with dashboarding and reporting tools such as Power BI or Tableau.
- Familiarity with SharePoint, Microsoft 365 collaboration tools, and regulated content management platforms such as Veeva Vault.
- Functional awareness of cloud platforms such as Azure or AWS, along with experience using tools such as Postman, Excel, or basic Python or R for data exploration and automation.
- Strong leadership skills with the ability to build trust, drive accountability, promote collaboration, and lead change across teams and stakeholders.
- A strategic and customer-centric mindset with the ability to balance innovation, operational value, and business outcomes.
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.
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.
