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Senior Product Manager, Data and Analytics [Remote]

Full-time

jobgether

United States
  • Remote job

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager, Data and Analytics based in the United States.

The Senior Product Manager, Data and Analytics will play a critical role in transforming complex healthcare data into actionable insights that drive clinical, operational, and business outcomes.
This position combines product leadership, analytics expertise, and hands-on technical collaboration to build impactful data solutions.
You will shape the data product strategy, partnering with engineering teams and stakeholders to define priorities and deliver measurable value.
The role offers the opportunity to influence how data platforms, dashboards, pipelines, and analytics capabilities evolve in a fast-growing healthcare technology environment.
The ideal candidate is comfortable navigating ambiguity, solving complex problems, and balancing strategic thinking with hands-on execution.
You will join a remote-first, collaborative team where autonomy, experimentation, and continuous improvement are central to success.

Accountabilities:

As a Senior Product Manager, Data and Analytics, you will own the strategy, development, and delivery of data-driven products that enable better decision-making across clinical, operational, and business functions. You will work closely with technical and non-technical teams to identify opportunities, define solutions, and ensure analytics initiatives create measurable impact.

  • Define and execute the data product strategy, aligning analytics initiatives with organizational goals and stakeholder needs.
  • Partner with data engineers, analysts, and business stakeholders to prioritize, scope, and deliver high-value data products.
  • Lead discovery efforts by engaging with internal and external stakeholders to understand challenges and identify opportunities.
  • Translate business questions into clear product requirements, problem statements, acceptance criteria, and actionable deliverables.
  • Manage the development and continuous improvement of dashboards, reports, pipelines, metrics, and analytics solutions.
  • Drive iterative delivery practices by prioritizing outcomes, gathering feedback, and adapting solutions based on learnings.
  • Define success metrics and measurement frameworks to evaluate clinical, operational, and financial impact.
  • Use SQL and analytical skills to investigate data, improve reporting quality, and support data-driven decisions.
  • Collaborate with engineering teams to ensure data reliability, quality, and performance.
  • Monitor critical data workflows and help resolve issues affecting data accuracy or availability.

Requirements:

The ideal candidate is a data-focused product leader who combines strong product management experience with technical analytics skills. You should be comfortable working across disciplines, translating complex requirements, and delivering impactful solutions in an agile environment.

  • Bachelor’s degree in a relevant field or equivalent professional experience.
  • 5+ years of experience in product management, analytics, data products, or related roles.
  • Proven experience delivering data products or analytics solutions in fast-paced, agile environments.
  • Experience working with healthcare data or healthcare technology is preferred.
  • Strong communication and collaboration skills, with the ability to connect technical teams and business stakeholders.
  • Strong SQL and analytical skills with the ability to investigate data and contribute hands-on to analytics work.
  • Experience gathering requirements, defining product requirements, and creating measurable acceptance criteria.
  • Passion for solving real-world problems through data-driven products rather than simply delivering features.
  • Experience with relational databases, data pipeline technologies, and dashboarding tools such as Snowflake, Looker, Sigma, Tableau, or Power BI.
  • Experience using Python, including libraries such as pandas, for data analysis.
  • Ability to thrive in ambiguous environments and manage multiple priorities effectively.
  • Strong understanding of iterative product development, experimentation, and outcome-based delivery.

Benefits:

  • Remote-first work environment with flexibility and autonomy.
  • Opportunity to work on technology solutions that improve healthcare delivery and patient outcomes.
  • Collaborative culture built around ownership, experimentation, and continuous learning.
  • Flexible working practices designed to support distributed teams.
  • Opportunities to make a meaningful impact through data-driven innovation.
  • Inclusive workplace culture focused on diversity, collaboration, and employee contribution.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Vacancy posted 1 day ago
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