Position Overview: As the Data Steward you will be responsible for resolving data exceptions, enforcing data governance rules, and creating test and training datasets. The Steward will use secondary research, data analysis and cross-functional collaboration to make decisions on what data should enter the RxVantage database, how it interrelates with other data and how it can or cannot be used. Key duties include reviewing and dispositioning data exceptions, defining metrics that measure stewardship requests vs throughput, and delivering test and training data sets to RxVantage analysts and data engineers.. At RxVantage we transform how medical practices engage with life sciences resources and expertise to improve patient care. Our platform intelligently connects healthcare providers with the precise life sciences experts that they need, when they need them. As a result, medical practices stay on the cutting edge of patient care without disrupting workflows. Trusted by more than tens of thousands of healthcare practitioners and all major life sciences companies, RxVantage has powered millions of educational exchanges between healthcare teams and life sciences companies. What you’ll be doing: Research, analyze, and disposition requests for new MDM data values with the goal of ensuring data quality Analyze existing MDM data for potential duplicates or errors and submit corrections Document standard operation procedures for resolving data exceptions Continually improve SME knowledge of data (domains, sources, use) relevant to RxVantage use cases Learn the business aspects of life sciences, healthcare providers, and pharmaceutical industries as they pertain to resolving data exceptions Independently work through a Jira backlog of user requests, communicating status, and meeting agreed upon delivery dates Provide input on backlog creation and due dates Comply with the RxVantage data security policies In collaboration with RxVantage data analysts and engineers, create datasets that can be used for testing or training standard or AI models Analyze patterns in stewardship requests and data issues to uncover patterns, trends, and actionable insights
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Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
11-50 employees