Product Owner, Data Platform and Data Products

Role Overview

• Own and maintain the data platform product backlog, ensuring it is well-prioritized, visible, and aligned with both technical and business objectives.
• Co-author epics, features, and user stories with Data Engineers, including clear acceptance criteria, data contracts, and technical specifications.
• Facilitate sprint planning, backlog grooming, and retrospectives in partnership with the Data Engineering team lead.
• Actively triage incoming requests from Product Management, Data Analysts, Solutions Architecture, and Implementation/Support, translating them into actionable backlog items.
• Remove blockers and escalate risks or delivery challenges proactively to the Head of Engineering.
• Define and prioritize requirements for AWS-native data ingestion pipelines, ETL/ELT workflows, and data lake architecture, in close collaboration with Data Engineers.
• Own the data catalog and governance backlog, ensuring data assets are documented, discoverable, and reliable for downstream consumers.
• Drive requirements for data quality frameworks, monitoring, and SLA definitions across platform pipelines.
• Partner with Application Engineering to ensure data products and APIs are integrated effectively into customer-facing and internal systems.
• Translate business and analytical requirements from Data Analysts and Product Managers into clearly defined data product specifications, including datasets, APIs, and dashboard-ready outputs.
• Define success metrics for data products and monitor adoption, quality, and performance post-launch.
• Ensure data products meet the latency, reliability, and scalability requirements of a high-volume SaaS environment.
• Collaborate with the Product Management team and Solutions Architecture to maintain a coherent data platform roadmap, balancing near-term delivery with long-term platform health.
• Serve as the primary point of contact for Implementation and Support teams on data-related questions, bugs, and feature requests.
• Provide regular, transparent updates on platform progress, risks, and upcoming milestones to Engineering leadership and cross-functional stakeholders.
• Gather feedback from internal and external data consumers to inform continuous platform improvement.

Requirements

• 2-4 years of experience as a Product Owner or Product Manager with direct ownership of data engineering, data platform, or data infrastructure products.
• Hands-on experience working within Agile/Scrum teams as a PO
• writing and refining tickets, running sprint ceremonies, and managing a live backlog.
• Strong working knowledge of modern cloud-native data architectures, including data lakes, lakehouses, and ELT/ETL pipeline patterns.
• Practical experience with AWS data services (e.g., S3, Glue, Athena, Air Flow, DynamoDb, Aurora Clusters, etc.)
• AWS Cloud Practitioner certification is a plus.
• Ability to read and critically evaluate data pipeline logic, data models, and schema definitions
• you don't need to write production code, but you need to understand what engineers are building.
• Experience defining data contracts, data quality requirements, or SLA frameworks for data pipelines.
• Proven ability to bridge technical data engineering teams and non-technical business stakeholders, translating between both directions fluently.
• Experience with Jira for backlog management and sprint tracking.
• Strong written and verbal communication skills, with a track record of producing clear, concise technical documentation and requirements.
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field — or equivalent practical experience.

Preferred Qualifications:

• Experience with data catalog or data governance tooling
• Familiarity with data API design
• REST or GraphQL
• and experience defining requirements for data product delivery via APIs.
• **Experience in or strong understanding of the hospitality industry **
• Familiarity with hospitality data standards such as HTNG, or experience integrating with Property Management Systems (PMS).
• Experience working with Solutions Architecture teams on multi-tenant SaaS platform design.
• Experience in a fast-paced growth-stage company or working with modular, platform-based product architectures.

Tech Stack

• AWS
• Cloud
• DynamoDB
• ETL
• GraphQL