Finance Product Owner – Data & Accounting

At Goods & Services, we don’t just build software; we architect the solutions that power the world’s most complex industries. We are looking for a sharp, ambitious Finance Product Owner to join our Data & Analytics team and help us bridge the gap between high-level financial strategy and technical execution. If you are a recent graduate or early-career professional with a passion for data, accounting principles, and product innovation, this is your opportunity to work alongside world-class engineers to solve mission-critical challenges for global enterprises.

In this role, you will act as the vital link between our financial stakeholders and our development squads, translating intricate accounting requirements into clear, actionable data products. You won’t just be managing a backlog; you will be deeply involved in the design-led process, leveraging cutting-edge AI and data engineering to modernize financial ecosystems. We are looking for someone who thrives in a fast-paced, collaborative environment and is eager to develop their product management skills while making a tangible impact on the future of financial services.

Joining Goods & Services means stepping into a culture of constant learning, where your ideas are valued and your growth is prioritized. Whether you are refining your analytical capabilities or mastering the art of product strategy, you will have the mentorship and resources to fast-track your career. If you are ready to apply your technical curiosity to real-world financial problems and want to launch your professional journey in a role that sits at the intersection of data, design, and finance, we want to meet you.

Requirements

• Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
• Experience with statistical programming languages like R or Python.
• Ability to derive actionable insights from large, complex datasets.
• Strong mathematical background and analytical thinking.
• Experience with data warehousing and ETL processes is beneficial.
• Degree in Statistics, Mathematics, Economics, or a related field.