Senior Product Owner (Data Platform)

🚀About us:

We are building a modern, cloud-native data platform on AWS to power analytics, integration, and automation across the organization — and we are looking for a Senior Product Owner to help us steer it in the right direction.

Join us in transforming how vehicles are diagnosed and repaired — faster, smarter, and at scale!!

You will oversee the end-to-end delivery of data platform projects using Agile methodologies, ensuring continuous alignment between technical execution and business needs. You will serve as a bridge between stakeholders, platform engineers and architects, driving collaboration, managing risks, and ensuring high-quality, scalable solutions.

🔍 Who are we looking for someone who:

• Has 6+ years of experience in technical product or project ownership, ideally in cloud-based data platform environments;
• Brings a solid understanding of modern data architectures and software development lifecycle
• Possesses strong communication skills and can effectively bridge technical and business perspectives;
• Is skilled at translating user needs into clear, actionable product requirements that align with platform strategy;
• Has extensive experience in writing user stories, grooming backlogs, developing and executing product roadmaps;
• Has worked closely with data engineers, software engineers, DevOps, and solution architects, fostering effective collaboration across domains;
• Is highly organized, proactive, and focused on delivering measurable outcomes against defined success criteria.

🎯 Your key responsibilities:

• Owning the development of our Cloud-based Data Platform
• Gathering and refining requirements from stakeholders across the business
• Creating and maintaining the product roadmap and backlog
• Defining and tracking KPIs related to data quality, processing times, availability, platform adoption and more
• Collaborate closely with platform engineers and technical lead to ensure solutions are technically robust, scalable, and aligned with platform standards.
• Work side by side with engineering to deliver robust ETL workflows, data integrations, access control, and observability features.