Product Owner/Product Manager-Commercial Analytics (Life Sciences)

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Job Title: Product Owner – Commercial Analytics (Life Sciences)

Location: Santa Monica, CA (Hybrid – 3 days/week onsite: Tue, Wed, Thu mandatory)

Experience: 10+ Years

We are seeking an experienced Product Owner with strong expertise in life sciences commercial analytics and deep technical capabilities in AWS, PySpark, Tableau, and IQVIA dataset. This role will lead the strategy and execution of data and analytics products that drive sales, marketing, and commercial decision-making.

Key Responsibilities

Product Strategy & Ownership

• Define and drive the product vision, roadmap, and backlog for commercial analytics solutions
• Develop scalable data and AI-driven products for pharma commercial functions
• Identify opportunities to leverage advanced analytics and GenAI

Stakeholder Management

• Partner with sales, marketing, and market access stakeholders
• Serve as the bridge between business and data/engineering teams
• Lead product demos, roadmap discussions, and executive updates

Data & Platform Delivery

• Work extensively with IQVIA datasets (Xponent, DDD, LAAD, etc.)
• Define data solutions using AWS (S3, Glue, EMR, Redshift)
• Collaborate on large-scale data processing with PySpark/Spark frameworks

Analytics & Visualization

• Oversee development of dashboards using Tableau
• Deliver insights for SFE, segmentation, targeting, and performance tracking
• Ensure insights are actionable and aligned to business KPIs

Agile Execution

• Own backlog prioritization, sprint planning, and delivery milestones
• Ensure alignment with Agile/Scrum methodologies
• Deliver incremental value through releases

Required Qualifications

• 10+ years in life sciences/pharma commercial analytics
• Proven experience as a Product Owner/Product Manager
• Strong expertise in:
• AWS (S3, Glue, EMR, Lambda, Redshift)
• PySpark / distributed data processing
• Tableau (or equivalent BI tools)
• Deep experience with IQVIA data and commercial pharma datasets
• Strong understanding of:
• Sales Force Effectiveness (SFE)
• Territory Alignment (TA)
• Segmentation & Targeting

Commercial analytics