Full-Time Product Manager, Data

Position Overview: As the Data Product Manager you will be responsible for designing and managing the implementation of data platforms and data-driven products. The DPM will use data analysis and cross-functional collaboration to inform product strategy and deliver business impact through data-powered insights and features.

Key duties include identifying data needs, defining KPIs, building data pipelines, and working closely with data analysts and engineers to deliver valuable data platforms and products.

What you'll be doing:

• Partner with key stakeholders to understand internal and external (client) data needs and logic
• Find opportunities to use data to improve existing RxVantage products and create new product offerings
• Define the data strategy for new and existing data platforms and products
• Integrate 3rd party data, client data, and RxVantage data into a cohesive whole
• Develop data-driven product roadmaps and prioritize features based on data insights
• May include performing scrum master and project management functions
• Establish clear KPIs and metrics to measure product success and data quality
• Work closely with data engineers and data analysts to translate data insights into product features and functionalities
• Design and implement data pipelines for data collection and processing
• Conduct data analysis to uncover patterns, trends, and actionable insights
• Partner with data analysts to identify complex data problems and develop advanced analytical models
• Utilize data visualization techniques to effectively communicate findings to stakeholders
• Bridge the gap between technical and non-technical teams, ensuring data is accessible and understood by all stakeholders
• Present the results to the stakeholders up to executive level and guides them to make the best use of analytics in their domain
• Deliver high-quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners
• Reconcile divergent demands from multiple stakeholders in a fast-paced work environment
• Mentor junior team members on analytics, storytelling and communication best practices
• Influence and support the standards of excellence and best practices of analytics

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