Data Product Specialist

Edelman is a voice synonymous with trust, reimagining a future where the currency of communication is action. Our culture thrives on three promises: boldness is possibility, empathy is progress, and curiosity is momentum. 
At Edelman, we understand diversity, equity, inclusion and belonging (DEIB) transform our colleagues, our company, our clients, and our communities. We are in relentless pursuit of an equitable and inspiring workplace that is respectful of all, reflects and represents the world in which we live, and fosters trust, collaboration and belonging.
We are seeking a Data Product Specialist to join our dynamic team. As a Data Product Specialist, you will be responsible for assisting in the development and management of data products that drive insights and decision-making within the organization. You will work closely with cross-functional teams including data engineers, data scientists, product managers, and stakeholders to deliver high-quality data products that meet business needs.

Responsibilities:

• Collaborate with stakeholders to understand business requirements and translate them into actionable product features and specifications. 
• Assist in prioritizing product features based on business value, technical complexity, and other factors. 
• Work closely with data engineers and data scientists to define data requirements, data models, and data processing pipelines. 
• Assist in the design and implementation of data products, ensuring they meet quality standards and are delivered on time and within budget. 
• Conduct user acceptance testing and gather feedback to iterate on product features and improve usability. 
• Assist in the documentation of product features, user guides, and training materials. 
• Stay informed about industry trends and best practices in data product management and contribute to the continuous improvement of our data products and processes. 

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or related field. 
• Strong analytical and problem-solving skills with attention to detail. 
• Basic understanding of data analysis techniques and statistical methods. 
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. 
• Self-motivated and proactive with the ability to work independently and in a team environment. 
• Prior experience with Agile methodologies is a plus. 
• Ideally experience or strong interest in working with Large Language Models (LLMs) or Machine Learning technologies, including their application in data analysis and decision-making. 

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We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t perfectly align with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.