Senior Product Manager, Data and Analytics (Medtech)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Product Manager, Data and Analytics (Medtech): Transforming complex healthcare data into actionable insights to drive clinical, operational, and business outcomes with an accent on data product strategy and technical collaboration. Focus on building and evolving data platforms, dashboards, and pipelines to improve healthcare delivery and patient outcomes.
Location: Must be based in the United States
Company
A fast-growing healthcare technology company focused on improving patient outcomes through data-driven innovation.
What you will do
- Define and execute the data product strategy, aligning analytics initiatives with organizational goals.
- Partner with data engineers, analysts, and stakeholders to prioritize and deliver high-value data products.
- Translate business questions into clear product requirements, problem statements, and acceptance criteria.
- Manage the development and continuous improvement of dashboards, reports, pipelines, and metrics.
- Define success metrics and measurement frameworks to evaluate clinical, operational, and financial impact.
- Utilize SQL and analytical skills to investigate data and support data-driven decision-making.
Requirements
- Must be based in the United States
- 5+ years of experience in product management, analytics, or data products.
- Strong SQL and analytical skills with a hands-on approach to data investigation.
- Experience with relational databases, data pipeline technologies, and tools like Snowflake, Looker, Sigma, Tableau, or Power BI.
- Proficiency in Python, specifically using libraries such as pandas for data analysis.
- Experience working with healthcare data or healthcare technology is preferred.
Culture & Benefits
- Remote-first work environment providing flexibility and autonomy.
- Opportunity to build technology that directly improves healthcare delivery and patient outcomes.
- Collaborative culture centered around ownership, experimentation, and continuous learning.
- Flexible working practices designed specifically for distributed teams.
- Inclusive workplace culture focused on diversity and employee contribution.
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