Senior Manager – Omnichannel, Commercial Pharma

🕒 March 31

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

⏰ Full Time

🟠 Senior

👔 Manager

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• 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.

🏖️ 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.