Senior Manager / AD - Omnichannel & Commercial Pharma

Tiger Analytics; New Jersey; On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Career development opportunities

Entrepreneurial environment

High degree of responsibility

Job summary

An advanced analytics consulting firm is looking for an experienced professional to lead the end-to-end delivery of data science and advanced analytics solutions in the commercial pharma domain. The ideal candidate will have 10-15+ years of experience in data science/advanced analytics and be skilled in Python, R, SQL, and relevant cloud platforms. This role also includes mentoring a team and collaborating with stakeholders to develop and optimize analytics frameworks for business challenges.

Qualifications

• 10-15+ years of experience in Data Science / Advanced Analytics.
• Strong experience with commercial pharma and stakeholder management.
• Hands-on expertise in Python, R, SQL, and ML frameworks.

Responsibilities

• Lead end-to-end delivery of data science solutions in pharma.
• Design Next Best Action models for customer engagement.
• Mentor and lead a team of data scientists and analysts.

Skills

Data Science

Machine Learning

Python

R

SQL

Stakeholder Management

Customer Analytics

Tools

AWS

Azure

GCP

scikit-learn

TensorFlow

CRM (Veeva)

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.

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.