Lead the design and curation of high-quality data products to drive data-driven decision-making across on-prem and cloud environments.
Responsibilities
Define the vision and roadmap for future data products, incorporating tactical requirements and strategic analyst needs.
Manage and refine the product backlog through consistent Agile ceremonies and events.
Design datasets and data products intended to drive business value, ensuring data consistency and quality for controlled use cases.
Collaborate with engineering and architecture teams to identify design approaches and iterate through development.
Serve as the liaison between product, engineering, and architecture to ensure delivered features meet business requirements through validation and testing.
Required Skills
Experience as a Product Owner managing data-centric products.
Strong proficiency in SQL and Python.
Hands-on experience with Data Engineering and Data Analysis workflows.
Working knowledge of big data ecosystems, including data modeling, dimensional models, and semantic layers.
Experience using Jira and Confluence to write stories and maintain backlogs.
Solid understanding of Agile and Scrum methodologies.
Ability to articulate business value and success criteria for specific datasets.
Graduate degree in any field.
Preferred Skills
Experience within the financial services industry.