Job Details

Job Summary

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 key performance indicators (KPIs), building data pipelines, and working closely with data analysts and engineers to deliver valuable data platforms and products.

Our client transforms how medical practices engage with life sciences resources and expertise to improve patient care. Their 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, they have powered millions of educational exchanges between healthcare teams and life sciences companies.

Primary Responsibilities

• Partner with key stakeholders to understand internal and external data needs and logic.
• Find opportunities to use data to improve existing products and create new product offerings.
• Define the data strategy for new and existing data platforms and products integrate third?party data, client data, and internal 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 analysts to translate data insights into product features and functionalities, and to design and implement data pipelines for data collection and processing.
• Analyze raw data to uncover patterns, trends, and actionable insights.
• Perform data profiling to identify anomalies and inconsistencies.
• Perform trend analysis, forecasting, and variance reporting.
• Partner with data analysts to identify complex data problems and develop advanced analytical models, utilizing data visualization techniques to effectively communicate findings.
• Bridge the gap between technical and non?technical teams, ensuring data is accessible and understood by all stakeholders.
• Present the results to stakeholders up to executive level and guide 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 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.

Education and Experience

• Minimum of 5 years experience in data analytics and product management.
• Bachelor's degree preferred.
• Strong understanding of data warehousing, data pipelines, and data modeling concepts.
• Proficiency in data analysis tools (SQL, Python, R) and data visualization techniques.
• Familiarity with cloud computing platforms (AWS, Azure, GCP).
• Experience with MDM solutions.
• Ability to translate data insights into actionable business strategies and decisions.
• Understanding of key business metrics and financial analysis.
• Excellent written and verbal communication skills to effectively present complex data findings to diverse audiences.
• Ability to collaborate effectively with cross?functional teams.
• Experience in product development lifecycle, including requirement gathering, prioritization, and roadmap planning.
• Strong customer focus and ability to understand user needs.