Enterprise Forecasting & Data Product Architect (Commercial Pharma)

Title Enterprise Forecasting & Data Product Architect (Commercial Pharma)

Location South San Francisco, CA 3 Days Onsite

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

• Bachelor's or Master's 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.