Director / Associate Director - Omnichannel & Commercial Pharma

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

Requirements

• 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

• Significant career development opportunities
• Part of a small, fast-growing, challenging and entrepreneurial environment
• A high degree of individual responsibility
• Tiger Analytics provides equal employment opportunities to all employees and applicants for employment 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.