About the job
Position Overview:
As a Data Product Manager, you will take the lead in designing and overseeing the integration of data platforms and data-driven products. Your role will involve utilizing data analysis and fostering cross-functional collaboration to shape product strategies and drive business value through actionable insights and innovative features. Your key responsibilities will include identifying data requirements, establishing key performance indicators (KPIs), developing data pipelines, and collaborating closely with data analysts and engineers to create impactful data platforms and products.
At RxVantage, we revolutionize the way medical practices connect with life sciences resources and expertise to enhance patient care. Our platform intelligently links healthcare providers with the exact life sciences experts they need, precisely when they need them. This allows medical practices to remain at the forefront of patient care without disrupting their existing workflows. Trusted by tens of thousands of healthcare professionals and all major life sciences companies, RxVantage has facilitated millions of educational interactions between healthcare teams and life sciences organizations.
What You’ll Be Doing:
- Collaborate with key stakeholders to assess internal and external data requirements and logic.
- Identify opportunities to leverage data to enhance existing RxVantage products and develop new offerings.
- Define the data strategy for both new and existing data platforms and products.
- Integrate third-party data, client data, and RxVantage data into a unified framework.
- Develop data-driven product roadmaps and prioritize features based on data insights.
- This may involve performing scrum master and project management tasks.
- Establish clear KPIs and metrics to evaluate product success and data quality.
- Work closely with data engineers and data analysts to translate data insights into product features and functionalities, as well as design and implement data pipelines for data collection and processing.
- Analyze raw data to identify patterns, trends, and actionable insights.
- Conduct data profiling to spot anomalies and inconsistencies.
- Perform trend analysis, forecasting, and variance reporting.
- Collaborate with data analysts to tackle complex data challenges and develop advanced analytical models.
- Utilize data visualization techniques to present insights effectively.

