Data Product Manager

Fiserv • Full-time • Dublin, Leinster, Ireland • 4d ago

What does a successful Data Product Manager do?

A Data Product Manager for ‘Merchant Insights & Reporting’ at Fiserv is responsible for leading the development and management of products that provide merchants with valuable insights and reporting capabilities. In the data and AI-driven world, the Product Manager plays a critical role in shaping innovative offerings, commercialization, staying ahead of market trends, and ensuring alignment with evolving customer needs, positioning the company for success and growth in the dynamic data-driven landscape.

What you will do:

Define product strategy and roadmapby proactively identifying current offerings, gaps, market demands & customer needs and present data and findings in a compelling way to influence leadership decisions.

Collaborate with cross-functional teams to gather requirements

Be responsible for a healthy backlog management on Jira, based on based on value, business goals, and customer needs for delivery in a Scaled Agile environment.

Participate in sprint planning meetings, defining sprint goals, and ensure that user stories are well-understood, estimated accurately, and delivered within the scheduled iterations.

Work closely with development teams to lead and monitorproduct development to ensure timely and successful delivery of product featuresand facilitate any necessary adjustments to optimize product delivery.

Lead client facing discussions, gain feedback anddevelop go-to-market strategies by collaborating with sales and marketing teams to drive product adoption.

Monitor industry developments and stay informed about emerging technologies and trends in merchant insights and reporting.

What you will need to have:

At least 7+ years of experience in a product management rolein the fintech or payments industry.

Commercially focused data analytics domain expert with strong customer centric thinking

Deep technical understanding of big data platformswith proficiency in SQL

Working knowledge of data analysis, data modeling and database management

Hands on experience in implementing various analytical prototypes using Python or other relevant tools and technologies.

Familiarity with machine learning to leverage predictive analytics, and other AI-driven capabilities in data products to generate valuable insights and personalized experiences for merchants.