About the job
Position Overview:
As the Data Product Manager, you will spearhead the design and execution of innovative data platforms and data-centric products. Leveraging data analysis and fostering collaboration across various teams, you will shape our product strategy and generate significant business impact through actionable data insights and features. Your key responsibilities will encompass identifying data needs, establishing key performance indicators (KPIs), constructing data pipelines, and collaborating closely with data analysts and engineers to deliver impactful data solutions.
At RxVantage, we revolutionize the way medical practices connect with life sciences resources to enhance patient care. Our platform adeptly links healthcare providers with the precise life sciences experts they require, precisely when they need them. This empowers medical practices to remain at the forefront of patient care without disrupting their workflows. Trusted by tens of thousands of healthcare practitioners and major life sciences companies, RxVantage has facilitated millions of educational exchanges between healthcare teams and life sciences firms.
Your Responsibilities Include:
- Collaborating with key stakeholders to grasp internal and external data needs and logic.
- Identifying opportunities to leverage data for enhancing existing RxVantage products and developing new offerings.
- Defining the data strategy for both new and existing data platforms and products.
- Integrating third-party data, client data, and RxVantage data into a unified framework.
- Creating data-driven product roadmaps and prioritizing features informed by data insights.
- This may involve fulfilling scrum master and project management roles.
- Establishing clear KPIs and metrics to assess product success and data quality.
- Working closely with data engineers and analysts to translate data insights into product features and functionalities.
- Designing and implementing data pipelines for efficient data collection and processing.
- Conducting data analysis to reveal patterns, trends, and actionable insights.
- Partnering with data analysts to tackle complex data challenges and develop advanced analytical models.
- Employing data visualization techniques to effectively communicate findings to stakeholders.
- Bridging the gap between technical and non-technical teams, ensuring data accessibility and understanding among all stakeholders.

