Director – Omnichannel & Commercial Pharma

Tiger Analytics

Analytics leader driving advanced data science initiatives within commercial pharma at Tiger Analytics. Focusing on building NBA frameworks and omnichannel engagement strategies for personalized journeys.

Posted 6/2/2026full-timeRemote • New Jersey • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

- 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

What you’ll need

- 12–18+ 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

Comp & perks

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
***Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.***

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Hard Skills & Tools

data scienceadvanced analyticsNext Best Action (NBA)predictive modelingPythonRSQLmachine learning frameworkscloud platformscustomer analytics

Soft Skills

stakeholder managementclient-facing experiencementoringleadershipcollaboration