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Senior Manager – Omnichannel, Commercial Pharma at Tiger Analytics | JobVerse
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Senior Manager – Omnichannel, Commercial Pharma
Tiger Analytics
Remote
Website
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Senior Manager – Omnichannel, Commercial Pharma
New Jersey, United States of America
Full Time
1 hour ago
Visa Sponsor
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Key skills
AWS
Azure
Cloud
Google Cloud Platform
Python
Scikit-Learn
SQL
Tensorflow
R
AI
ML
GenAI
TensorFlow
scikit-learn
Data Engineering
Analytics
GCP
Google Cloud
CRM
Stakeholder Management
Sales
About this role
Role Overview
Lead end-to-end delivery of data science and advanced analytics solutions in the commercial pharma domain.
Design and implement Next Best Action (NBA) models to optimize customer engagement and decision-making.
Develop and scale omnichannel analytics frameworks, integrating data from multiple touchpoints (CRM, digital, field, marketing).
Partner with business stakeholders (Sales, Marketing, Market Access) to translate business problems into analytical solutions.
Drive customer segmentation, targeting, personalization, and campaign optimization strategies.
Build predictive models (propensity, churn, response, uplift modeling) to enhance commercial performance.
Oversee data pipelines, model deployment, and monitoring in production environments.
Mentor and lead a team of data scientists and analysts.
Collaborate with data engineering teams to define data architecture, data quality standards, and governance frameworks for analytics use cases.
Ensure alignment with regulatory and compliance standards within pharma.
Requirements
10–15+ years of experience in Data Science / Advanced Analytics, with strong exposure to 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 force 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.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Python
Scikit-Learn
SQL
Tensorflow
Benefits
Significant career development opportunities exist as the company grows.
Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Apply Now
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