Tiger Analytics

Delivers Data and AI transformation

Senior Manager / AD - Omnichannel & Commercial Pharma

Data ScienceConfirmed live in the last 24 hours

Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

10–15+ years of experience in data science or advanced analytics, with strong exposure to commercial pharma.
Proven experience building and deploying Next Best Action (NBA) or recommendation systems.
Strong understanding of omnichannel engagement, including customer relationship management systems such as Veeva, digital marketing, and field force data.
Hands-on expertise in Python, R, SQL, and machine learning frameworks such as scikit-learn and TensorFlow.
Experience with cloud platforms such as AWS, Azure, or GCP.
Strong knowledge of pharma datasets such as claims, prescriptions, electronic medical records, and patient-level data.
Experience in customer analytics, segmentation, targeting, and campaign measurement.
Experience managing stakeholders and working directly with clients.
Experience with generative AI or AI-driven personalization in pharma.
Prior consulting experience or experience working in a fast-paced client environment.

Responsibilities

Lead end-to-end delivery of data science and advanced analytics solutions in the commercial pharma domain.
Design and implement Next Best Action models to optimize customer engagement and decision-making.
Develop and scale omnichannel analytics frameworks, integrating data from multiple touchpoints, including customer relationship management, digital, field, and marketing data.
Partner with business stakeholders in Sales, Marketing, and Market Access to translate business problems into analytical solutions.
Drive customer segmentation, targeting, personalization, and campaign optimization strategies.
Build predictive models, including propensity, churn, response, and uplift models, 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.

Senior Manager / AD - Omnichannel & Commercial Pharma

Tiger Analytics Inc. · United States (Remote) · Full-time · Posted 2026-03-31

Workplace: remote

Department: Consulting

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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About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Jose, CA
Founded: 2010

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