Ehub Global Inc

Business Data Analytics – Commercial AI & Data Strategy

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Business Data Analytics Product Manager, hybrid in the San Francisco Bay Area, for a contract of unspecified length. Requires 8+ years in Data Analytics, expert SQL, and Life Sciences experience, particularly in Real-World Evidence.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 16, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#ML (Machine Learning) #Data Modeling #Data Science #Data Lifecycle #Data Strategy #Strategy #SQL (Structured Query Language) #Storytelling #Leadership #Visualization #AI (Artificial Intelligence) #Data Storytelling #Consulting
Role description
Job Title: Business Data Analytics – Commercial AI & Data Strategy - Product Manager Location: San Francisco Bay Area (Hybrid – 3 days onsite) Contract Role Overview We are looking for a high-impact consultant to bridge the gap between complex data science and commercial strategy. The ideal candidate has a proven track record of leading teams through the full data lifecycle—from real-world data (RWD) insights to deploying sophisticated AI-driven decision analytics. You will be responsible for helping clients navigate product-market fit and optimizing commercial operations through the power of Generative AI and advanced data modeling. Required Skills & Qualifications • Professional Experience: 8+ years of experience in Data Analytics, Data Science, or Strategy Consulting • Technical Proficiency: Expert-level SQL and data visualization skills. Experience with AI/ML frameworks applied in a commercial or clinical context. • Domain Expertise: Strong background in Life Sciences, BioTech, or Healthcare, with specific experience in Real-World Evidence (RWE) or Commercial AI. • Team Leadership: Demonstrated ability to lead analytics projects and mentor junior analysts. • Communication: Exceptional ability to engage with external leadership and drive decision-making through data storytelling. • Education: Advanced degree in Data Science, Business Analytics, Engineering, or a related quantitative field.