Product Owner Commercial Analytics (Life Sciences)

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 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

• 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

Preferred Qualifications

• Experience in GenAI / AI-driven analytics use cases
• Knowledge of Next Best Action (NBA) and omnichannel analytics
• Strong SQL and data modeling skills
• Exposure to modular data product architectures

Soft Skills

• Strong executive communication and stakeholder management
• Ability to translate data into business impact
• Excellent problem-solving and leadership skills
• Experience working in cross-functional, fast-paced environments

Key Outcomes

• Deliver scalable commercial analytics platforms
• Improve data-driven decision-making across sales & marketing
• Accelerate insight generation and adoption
• Drive measurable commercial impact and ROI