About the job
Position Overview:
As a Data Steward, you will play a crucial role in ensuring the integrity of our data. Your responsibilities will include resolving data exceptions, upholding data governance standards, and generating test and training datasets. By leveraging secondary research, data analysis, and cross-departmental collaboration, you will determine the quality and applicability of data for the RxVantage database. Key responsibilities encompass reviewing and addressing data exceptions, formulating metrics for stewardship requests against throughput, and delivering datasets to analysts and data engineers.
At RxVantage, we are revolutionizing the engagement between medical practices and life sciences resources to enhance patient care. Our innovative platform seamlessly connects healthcare providers with the right life sciences experts at the right moment, ensuring that medical practices remain at the forefront of patient care without interrupting their workflows. With the trust of tens of thousands of healthcare professionals and all major life sciences companies, RxVantage has facilitated millions of educational exchanges between healthcare teams and life sciences entities.
What You Will Be Doing:
- Conduct research, analyze, and address requests for new Master Data Management (MDM) data values to ensure data quality.
- Review existing MDM data for potential duplicates or inaccuracies and recommend corrections.
- Document standard operating procedures for resolving data exceptions.
- Continuously enhance your knowledge of data domains, sources, and use relevant to RxVantage use cases.
- Gain insights into the business landscape of life sciences, healthcare providers, and the pharmaceutical industry related to data exception resolution.
- Independently manage a Jira backlog of user requests, providing updates and meeting deadlines.
- Offer input on backlog creation and timelines.
- Adhere to RxVantage’s data security policies.
- Collaborate with RxVantage data analysts and engineers to create datasets for testing or training standard or AI models.
- Analyze stewardship requests and data issues to uncover trends and actionable insights.

