Enterprise Forecasting & Data Product Architect (Commercial Pharma)

Job Title Enterprise Forecasting & Data Product Architect (Commercial Pharma)

Job Location South San Francisco CA 3 Days Onsite

Job Duration: Long Term

Position Summary

We are seeking an experienced Enterprise Forecasting Architect to lead the design and implementation of next-generation GenAI-powered forecasting and analytics platforms for the Life Sciences and Pharmaceutical industry. The ideal candidate will possess deep expertise in commercial forecasting data engineering cloud-based analytics and modern product management.

This role goes beyond traditional data architecture; you will act as a bridge between technical execution and business value. By partnering with Commercial Operations Market Access Finance and Data Engineering you will build scalable mobile-enabled and user-centric forecasting platforms that integrate AI/ML and NLP to support executive strategic decision-making and S&OP processes.

Key Responsibilities

Architecture & Data Engineering

• Design and implement end-to-end forecasting architecture and unified data products for pharmaceutical products across launch growth and mature brands.
• Partner with Data Engineering teams to build scalable resilient data pipelines on cloud platforms (AWS Azure or GCP).
• Design advanced data models that seamlessly integrate multiple complex data sources including IQVIA Symphony Health Claims EMR/EHR Specialty Pharmacy Competitive Intelligence and CRM (Veeva Salesforce).

Forecasting & Domain Expertise

• Develop robust demand patient-based epidemiology-based sales and revenue forecasting models.
• Integrate Sales and Operations Planning (S&OP) processes directly with commercial forecasting platforms to ensure supply chain and commercial alignment.
• Drive advanced domain analytics including Omnichannel Analytics Patient Journey Analytics Digital Marketing Analytics and Launch Excellence/Brand Performance metrics.
• Perform sensitivity analysis market simulations and what-if scenario modeling.

GenAI Product Management & UX

• Lead the integration of GenAI-powered features into enterprise contexts including NLP interfaces and automated narrative generation to translate complex data into actionable insights.
• Apply strong Product Management and UX capabilities to ensure the output is a highly usable intuitive data product rather than just a data dump.
• Design and deploy mobile-enabled analytics and executive decision dashboards.

Leadership & Delivery

• Establish strict forecasting governance assumptions management and scenario planning processes.
• Operate within an Agile delivery methodology demonstrating the ability to iterate quickly in a complex cross-functional stakeholder environment.
• Ensure compliance with Pharma industry regulations and data governance standards.
• Mentor analysts data scientists and engineering teams on best practices for data product delivery.

Required Qualifications

• Bachelors or Masters degree in Data Science Statistics Economics Life Sciences Computer Science or a related field.
• 10 years of proven experience delivering commercial forecasting data engineering and analytics platforms in the biopharma or life sciences industry.
• Strong understanding of various forecasting methodologies: Patient-based Demand Revenue Market Sizing and Opportunity Assessment.
• Demonstrated experience building and deploying GenAI-powered features (LLMs NLP) in enterprise workflows.
• Strong Product Management mindset with a proven track record of designing user-centric data products and executive dashboards.
• Expertise in the modern data stack: AWS Cloud Services Python SQL PySpark Databricks Snowflake and Tableau/Power BI.
• Deep knowledge of pharmaceutical data assets (IQVIA Symphony Claims SP Market Research).
• Proven ability to operate iteratively in an Agile framework and manage complex stakeholder relationships.

Preferred Qualifications

• Prior experience within Genentech Roche or a comparable top-10 biopharma commercial analytics environment.
• Familiarity with internal Genentech data platforms such as Oasis IRIS GPS (or equivalents at comparable organizations).
• Broad therapeutic area forecasting experience (e.g. Oncology Immunology Rare Disease Specialty Therapeutics).
• Experience with Veeva CRM and Commercial Data Warehouses.
• AWS Solution Architect or Data Analytics certifications.

Education & Experience

• Bachelors degree in Business Administration Information Technology or a related field.