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Product Manager - Data Analytics AI & Data Strategy
Job in
Rexburg, Madison County, Idaho, 83440, USA
Listed on 2026-06-09
Listing for:
Megacloudlab
Full Time
position Listed on 2026-06-09
Job specializations:
-
IT/Tech
Data Science Manager, Data Analyst, Business Systems/ Tech Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Role Overview
We are seeking a strategic, high-impact Product Manager to bridge the gap between complex data science and commercial execution. In this role, you will lead clients through the full data lifecycle—from unlocking real-world data (RWD) insights to deploying sophisticated, AI-driven decision analytics. You will be instrumental in helping organizations find product-market fit, optimize commercial operations, and scale through the power of Generative AI and advanced data modeling.
Key Responsibilities- AI Strategy & Productization: Design, build, and deliver AI-driven solutions tailored to commercial challenges, with a heavy focus on decision analytics and predictive modeling.
- RWD & Commercial Insights: Leverage deep expertise in Real-World Data (RWD) to extract actionable intelligence that drives market access and evidence-based commercial strategies.
- Cross-Functional Leadership: Lead and mentor high-performance teams (3+ members) to execute complex data growth initiatives and streamline operational workflows.
- Executive Stakeholder Management: Serve as the primary partner for client leadership, translating complex technical findings into clear, high-impact strategic recommendations for C-suite executives.
- Product-Market Fit Analytics: Conduct rigorous analytical deep-dives to evaluate product performance, optimize commercial health, and identify strategic partnerships or market expansion opportunities.
- Data Operations & Growth: Architect and refine data acquisition strategies and scalable operational workflows to maximize the ROI of data assets.
Skills & Qualifications
- Experience: 5+ years of proven success in Data Analytics, Data Science, Product Management, or Strategy Consulting.
- Domain Expertise: Strong background in Life Sciences, Bio Tech, or Healthcare
, with deep familiarity in Real-World Evidence (RWE) or Commercial AI applications. - Technical Proficiency: Expert-level SQL and data visualization skills. Direct experience managing or applying AI/ML frameworks within a commercial or clinical context.
- Leadership: Demonstrated experience leading analytics projects, managing small teams, and driving cross-functional alignment.
- Communication: Exceptional data storytelling skills with a track record of influencing external stakeholders and executive-level decision-makers.
- Education: Advanced degree (Master's or Ph.D.) in Data Science, Business Analytics, Engineering, or a related quantitative field.
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