Senior Manager – Omnichannel, Commercial Pharma

🕒 Março 31

🏖️ New Jersey – Remoto

🏖️ New Jersey – Remote

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Tiger Analytics

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

🤖 Inteligência Artificial

🤝 B2B

Artificial Intelligence • B2B • Consulting

A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.