🕒 25 days ago
Leads the Global Analytics data science function, translating AI strategy into delivery while guiding teams that build advanced analytics, machine learning, and generative AI solutions for life sciences data.
Senior Manager / AD - Omnichannel & Commercial Pharma
📅 Mar 31
Data ScienceAdvanced AnalyticsCommercial PharmaNext Best Action (nba)
📜 Description
- Lead end-to-end delivery of commercial pharma data science and advanced analytics solutions.
- Design and deploy Next Best Action models and omnichannel analytics frameworks across CRM, digital, field, and marketing touchpoints.
- Partner with Sales, Marketing, and Market Access stakeholders to turn business needs into analytical solutions.
- Drive segmentation, targeting, personalization, and campaign optimization; build propensity, churn, response, and uplift models.
- Oversee analytics data pipelines, production deployment, and model monitoring; collaborate on data architecture, quality, and governance.
- Mentor data scientists and analysts and ensure analytics work aligns with pharma regulatory and compliance standards.
🛠️ 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.
Full job description
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.
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. 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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