Tiger Analytics Inc.
Senior Manager / AD - Omnichannel & Commercial Pharma
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 6 months ago · Found 1h ago
Been open since 6 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Senior
Category
Other
This employer didn't state pay. Jobs like this usually pay around $120k–$205k a year, a typical range taken from 187 senior-level other roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "United States, New Jersey, New Jersey, United States, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
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).
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open other roles with comparable remote rules.
Free to apply, no account needed.
Typically $120k to $205k per year · You'll be taken to the employer's careers page.