Director / Associate Director - Omnichannel & Commercial Pharma
Remote · New Jersey, United States
Job Summary
Seasoned analytics leader to drive advanced data science initiatives within the commercial pharma space. Focus on building and scaling Next Best Action (NBA) models and omnichannel engagement strategies to enable personalized HCP and patient journeys, improve commercial effectiveness, and drive business impact. Responsibilities include leading end-to-end delivery of data science solutions, designing NBA models, developing omnichannel analytics frameworks, partnering with Sales/Marketing/Market Access, driving segmentation and campaign optimization, building predictive models (propensity, churn, response, uplift), overseeing data pipelines and model deployment, mentoring a team of data scientists, collaborating on data architecture and governance, and ensuring alignment with regulatory and compliance standards in pharma. Requirements include 12–18+ years in data science/advanced analytics with pharma exposure, hands-on ML/AI proficiency, and strong stakeholder management; familiarity with CRM (Veeva), cloud platforms (AWS/Azure/GCP), and GenAI-driven personalization; prior consulting or fast-paced client environment experience. Benefits highlight significant career development and an entrepreneurial environment with equal opportunities.
Required Qualifications
- 12–18+ years of experience in Data Science / Advanced Analytics in commercial pharma
- Proven experience in building and deploying Next Best Action (NBA) or recommendation systems
- Strong understanding of omnichannel engagement including CRM (e.g., Veeva), digital marketing, and field data
- Hands-on expertise in Python, R, SQL, and ML frameworks (scikit-learn, TensorFlow, etc.)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Strong knowledge of pharma datasets such as claims, prescriptions (Rx), EMR, and patient-level data
- Experience in customer analytics, segmentation, targeting, and campaign measurement
- Excellent stakeholder management and client-facing experience
- Experience with GenAI / AI-driven personalization in pharma
- Prior consulting experience or working in a fast-paced client environment
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