Tiger Analytics

Senior Manager – Omnichannel, Commercial Pharma

Tiger Analytics

full-time

Posted on:

Location Type: Remote

Location: New JerseyUnited States

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About the role

  • 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.
  • Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data scienceadvanced analyticsNext Best Action (NBA) modelspredictive modelingPythonRSQLmachine learning frameworkscloud platformscustomer analytics
Soft Skills
stakeholder managementclient-facing experiencementoringleadershipcollaboration