Product Owner Commercial Analytics (Life Sciences)

Product Owner Commercial Analytics (Life Sciences)
Santa Monica, CA Hybrid 3 days/week onsite
Long Term
Contract

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 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:

o AWS (S3, Glue, EMR, Lambda, Redshift)

o PySpark / distributed data processing

o Tableau (or equivalent BI tools)

• Deep experience with IQVIA data and commercial pharma datasets
• Strong understanding of:

o Sales Force Effectiveness (SFE)

o Territory Alignment (TA)

o Segmentation & Targeting

o 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

Munesh

,

CYBER SPHERE LLC