Product Owner (m/f/d) Data & AI - 100% Remote

• Start Date: As soon as possible
• Duration: minimum 6 months
• Remote with occasional on-site workshops (if feasible)
• Preferred: Atlanta, USA (for proximity to key stakeholders)
• Also feasible: Germany or Greater Germany (DACH Region)

As part of a strategic digital transformation initiative, we are launching a Data & AI product designed to enhance enterprise-wide decision-making, automation, and governance. This product will serve as a foundational platform for data-driven services, integrating advanced analytics, machine learning, and AI capabilities into core business processes. We are looking for a freelance Product Owner to lead this effort from concept to delivery, ensuring alignment with business goals, technical feasibility, and user needs.

• Act as the Product Owner managing the product backlog and roadmap.
• Lead the product to an MVP (clearly defined scope of targeted MVP application in the US)
• Translate strategic objectives into actionable user stories and technical requirements.
• Collaborate with data engineers, AI/ML specialists, architects, and business stakeholders to define and prioritize features.
• Drive the development of capabilities such as:
• Data ingestion and quality pipelines
• AI model lifecycle management
• Governance and compliance tooling
• Self-service analytics and reporting
• Facilitate agile ceremonies (sprint planning, reviews, retrospectives).
• Ensure delivery milestones are met and value is continuously delivered.
• Monitor KPIs and user feedback to guide product evolution.

Required qualifications:

• 5+ years of experience as a Product Owner or Product Manager in data/AI or digital platform environments.
• Strong understanding of data architecture, analytics, and AI/ML workflows.
• Experience working in agile teams and managing complex stakeholder landscapes.
• Excellent communication and documentation skills.
• Fluent in English; German is a plus.

Preferred qualifications:

• Experience with enterprise data governance or digital transformation programs.
• Familiarity with tools such as Azure Data Services, Databricks, Power BI, or similar.
• Located in ATL or DACH region for better time zone alignment and collaboration.