What are the responsibilities and job description for the Enterprise Forecasting & Data Product Architect (Commercial Pharma) position at Apptad Inc?
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 Google Cloud Platform).
- 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.
Education & Experience
- Bachelor's degree in Business Administration, Information Technology, or a related field.
ABOUT US
Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers.Apptad is relentlessly reinventing the outlook of how companies leverage data.
With an effort to enable our customers the ability to solve biggest problems within their organization.We perceive our clients problems and respond with custom solutions instead of handing over boilerplate responses.
OUR MISSION
Customer Focus: We listen carefully to the needs of our clients so that we know what s important for their business and can design a customized solution for their business.
Innovation: As a firm, we believe in constantly upgrading ourselves and improving our solutions to adapt to the changing landscape of technology.
Accountability and Ethics: We believe in taking our commitments as seriously as our customers and living up to them while building trust for a long term business relationship.