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Clinical Business Analyst

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Harnham
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

This is a rare opportunity to take ownership of a greenfield data product within a highly impactful clinical insights environment. You will be trusted to shape what gets built from the ground up, working closely with clinical, executive and technical stakeholders to define, document and deliver data products that genuinely influence healthcare decision making.

The Company

They are a global organisation operating at the intersection of healthcare, data and analytics. Their clinical-facing businesses rely on accurate, well-designed data products to guide cost, quality and outcomes decisions. The environment is collaborative and stakeholder-heavy, with a strong emphasis on clinical credibility, clarity of insight and long-term product thinking.

The Role and Deliverables
  • Own the end-to-end design of clinical data products, from initial problem definition through to delivery and adoption.
  • Rebuild and document the data product landscape, defining what should be built and how it should evolve over time.
  • Act as the key liaison between clinical stakeholders, executives and technical teams including data science, data engineering and BI.
  • Translate ambiguous clinical and business needs into clear product requirements and delivery plans.
  • Support the rollout and ongoing improvement of applications and dashboards, ensuring alignment with health cost guidelines and accuracy standards.
  • Establish ways of working, documentation and governance to improve how data products are designed and delivered.
Your Skills and Experience
  • Strong experience in senior product roles within clinical, healthcare or health data environments.
  • Proven capability in data product design, particularly in complex stakeholder settings.
  • Confidence working alongside data scientists and AI or ML teams without being a hands-on engineer.
  • Solid understanding of data visualisation and BI, with experience using tools such as Power BI.
  • Credibility and comfort engaging with both clinicians and executive stakeholders.
  • Familiarity with large healthcare or health technology organisations, including those grown through acquisition.
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