Solution Architect – Commercial Product Launch

Apptad Inc

  • South San Francisco, CA
  • 3 days ago
  • $80

Highlights

Commercial Dataset Integration & Harmonization: Ingest, clean, and harmonize key pharmaceutical launch datasets across multiple channels, including Sales & Prescription Data (IQVIA, 852/867 EDI, SAP), Claims & Patient Data (LAAD, Careset), Payer & Market Access Data (MMIT), CRM & Field Interaction Data (Veeva CRM), and Master Data (HCP/HCO/Payer). This role is responsible for unifying key commercial launch datasets-including Sales & Prescription data, Longitudinal Claims, Payer/Market Access, and Sales Force/CRM interactions-into a single governed source of truth to power brand launch cockpits, executive decision-making, and field force execution.

Numbers & Facts

LocationSouth San Francisco, CA
Salary$80

Description

Job Role Solution Architect Commercial Product Launch

Job Location Onsite - South SFO, 3 days a week.

Job Type: Contract

Mandatory Requirements

  • Product launching experience in the Commercial space.
  • Hands-on integration and modeling of IQVIA, LAAD, Veeva CRM, 852/867 EDI feeds, MMIT, Careset, and Payer/Claims datasets.
  • Deep understanding of US Pharma commercial operations, sales force effectiveness, formulary tracking, market access, and patient journey analytics.

Position Overview The AWS Solution Architect Commercial Product Launch will design, architect, and lead the technical execution of commercial analytics and data platform capabilities for product launches. This role is responsible for unifying key commercial launch datasets-including Sales & Prescription data, Longitudinal Claims, Payer/Market Access, and Sales Force/CRM interactions-into a single governed source of truth to power brand launch cockpits, executive decision-making, and field force execution.

Key Responsibilities

  • Data Architecture & Platform Design: Architect end-to-end cloud data pipelines, semantic layers, and data marts on AWS (S3, Glue, Redshift, PySpark, Athena) to support commercial data products and launch performance tracking. Design conformed dimensional models, star schemas, and reusable semantic layers for brand launch metrics (NRx, TRx, Share of Voice, Persistent Duration). Ensure full alignment with enterprise platform standards, data governance, RBAC security, and data quality frameworks.
  • Commercial Dataset Integration & Harmonization: Ingest, clean, and harmonize key pharmaceutical launch datasets across multiple channels, including Sales & Prescription Data (IQVIA, 852/867 EDI, SAP), Claims & Patient Data (LAAD, Careset), Payer & Market Access Data (MMIT), CRM & Field Interaction Data (Veeva CRM), and Master Data (HCP/HCO/Payer).
  • Launch KPI & Decision-Support Framework: Build phase-aware KPI rule engines tracking launch progression across key operational pillars: Market Readiness, HCP Engagement, Patient Adoption, Access & Formulary, and Persistence & Adherence. Establish automated data quality validation gates and circuit breakers to ensure source feed integrity before deployment.
  • Cross-Functional Delivery Leadership: Partner with Commercial Brand Teams, Strategic Analytics, Data Engineering, and IT stakeholders to translate business requirements into technical blueprints. Guide technical delivery pods across data engineering, semantic modeling, and micro-frontend/BI integration.

Required Qualifications

  • Experience: 10+ years in Life Sciences / Pharmaceutical Data Architecture and Commercial Analytics, with specific experience leading data architecture for commercial product launches.
  • Commercial Dataset Expertise: Hands-on experience integrating and modeling IQVIA, LAAD, Veeva CRM, 852/867 EDI feeds, MMIT, Careset, and Payer/Claims datasets.
  • Technical Skills: Strong proficiency in Cloud Data Platforms, specifically AWS (S3, Glue, Redshift, Athena, Step Functions, Lambda). Expertise in Data Processing & Engineering (PySpark, SQL, Apache Iceberg, ETL/ELT frameworks, REST APIs) and Data Modeling (Kimball dimensional modeling, Star Schema design, MDM).
  • Domain Knowledge: In-depth understanding of US Pharma commercial operations, sales force effectiveness (SFE), formulary tracking, market access, and patient journey analytics.

Preferred Qualifications

  • Frontend Knowledge: Experience with React is a strong plus.
  • Ecosystem Experience: Prior experience with Pharma commercial technology ecosystems (e.g., Polaris, OASIS).
  • Analytics/BI: Familiarity with semantic layer engines (Cube.js) and BI platforms (Looker, Tableau, Qlik).

Education

  • Bachelors or Masters in Information Technology, Computer Science or a relevant field.

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