Data Procurement Specialist (f/m/d)

As a Data Procurement Specialist at our company, you will engage in a range of responsibilities including researching potential data suppliers, negotiating acquisition terms, and aligning data sourcing with both product and research needs. Additionally, you'll collaborate with data engineers to ensure that all data meets compliance standards and supports the development of our innovative GenAI applications.

To qualify for the Data Procurement Specialist role, candidates should have proven experience in data procurement or management, particularly within data-driven industries. A strong grasp of contract negotiation, data privacy laws, and compliance issues is also important, as is previous experience working alongside data engineers or AI researchers to meet technical requirements.

At our Berlin office, Data Procurement Specialists enjoy a hybrid working model that allows for a balanced approach between collaborative work in our vibrant office and the comfort of home. The dynamic atmosphere encourages innovation, with flexible hours and regular team events that foster connection and collaboration.

Data procurement is crucial for developing GenAI applications here. The Data Procurement Specialist will identify and secure high-quality datasets that are essential for training our Large Language Models. This data helps us build competitive solutions that meet the evolving needs of our customers and advances our research capabilities.

Our Data Procurement Specialist will be immersed in a rapidly growing field with numerous opportunities for professional development. Working alongside industry and science experts, there will be chances to enhance your skills in negotiation, data management, and compliance, as well as potentials for advancement within the organization as we expand our innovative projects.

When answering this question, focus on specific instances where you successfully procured data or negotiated supplier contracts in previous roles. Detail the industries you worked in, the types of data you secured, and how your efforts contributed to the success of the project or organization.

Outline your negotiation techniques, such as research-based approaches to determine fair pricing and terms. Discuss your ability to build rapport with suppliers while ensuring compliance with legal and ethical standards.

Discuss your understanding of data privacy laws and intellectual property rights. Mention how you keep current with regulations and the steps you take to guarantee all procurement activities adhere to these legal standards.

Share specific examples of data sources you’ve worked with, such as vendors or platforms, emphasizing the context and how these collaborations benefited your previous organizations.

Provide a detailed example illustrating your adaptability and problem-solving skills. Highlight how you identified new data suppliers or altered acquisition strategies to meet evolving business needs.

Explain your approach to prioritization, such as assessing the impact on projects, deadlines, and the strategic importance of different data acquisitions. Discuss tools or methods you use to stay organized.

Highlight the importance of teamwork in successful data procurement, mentioning your experiences working with data engineers and researchers, and how collective input leads to better data sourcing decisions.

Discuss the methods you use to stay informed about industry trends, market changes, and emerging data sources. Mention any tools, networks, or resources you leverage to maintain this knowledge.

Explain the criteria you find essential, such as data quality, reliability, compliance with laws, and vendor reputation. Discuss how you weigh these factors to choose the right partner.

Share your passion for data and technology, particularly how working in GenAI applications aligns with your career interests. Mention specific aspects of the role that you find engaging, whether it's the challenges, the impact on AI solutions, or the innovative environment.