Director / Associate Director - Omnichannel & Commercial Pharma
Resumo da vaga pela JobGrid
Director / Associate Director - Omnichannel & Commercial Pharma at Tiger Analytics Inc.: Remoto, Estados Unidos; Tempo inteiro; TI; Data Science e ML. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Remoto, Estados Unidos
- Role classification: TI, Data Science e ML, Tempo inteiro
- Source freshness: checked by JobGrid on 2026-06-07.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for a seasoned analytics leader to drive advanced data science initiatives within the commercial pharma space. This role will focus on building and scaling Next Best Action (NBA) frameworks and omnichannel engagement strategies to enable personalized HCP and patient journeys, improve commercial effectiveness, and drive business impact.
Responsibilities
- 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.