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About the role

As a Junior Product Manager, you will play a key role in designing and implementing scalable data solutions using Databricks, PySpark, and Azure Cloud. You will collaborate with cross-functional teams to deliver high-performance applications that drive business impact. This is a hybrid role with no travel required, offering the opportunity to work on innovative projects that enhance services and positively impact society.

In this role, you will:

Define a clear product vision and strategy for data products aligned with business goals.

Create and maintain a product roadmap, prioritizing data initiatives based on business impact and technical feasibility.

Collaborate closely with data scientists, engineers, designers, and business stakeholders to build and deploy effective data products.

Translate complex technical concepts into clear, actionable insights for non-technical stakeholders.

Apply strong knowledge of data architecture and data modeling to ensure scalable and efficient data solutions.

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 requiring a combination of remote and in-office work. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

What you need to have to be considered

• 3–5 years of experience as a developer with strong proficiency in Databricks and PySpark.

• Extensive experience with Azure cloud services including deployment and management of applications.

• Excellent problem-solving skills with the ability to troubleshoot complex technical issues effectively.

• Strong communication skills capable of articulating technical concepts to non-technical stakeholders.

These will help you stand out

• Familiarity with Life and Annuities Insurance domain and understanding of industry-specific data requirements.

• Up-to-date knowledge of industry trends and best practices in data engineering and cloud deployment.

Compensation

Compensation for this role will be competitive and commensurate with experience. Specific details will be discussed during the interview process.

Benefits

We offer a comprehensive benefits package designed to support your health, wellbeing, and professional growth. Benefits may include health insurance, retirement plans, paid time off, and opportunities for continuous learning and development.

Post Closing Date

Applications for this position will be accepted until October 17 th , 2025.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.