- 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.

• Own the development, maintenance, and execution of forward-looking drug spend forecasting models. • Quantify the impact of macro-market shifts in collaboration with Pricing team. • Partner with the Clinical Strategy team to translate upcoming pharmacy market events into quantitative financial models. • Evaluate customer level trends, to identify key drivers and inform future expectations at the overall spend levels. • Translate highly complex actuarial and analytical findings into clear, compelling narratives for executive leadership, consultants, and sophisticated employer groups. • Direct the creation of external trend reports showcasing the Smith’s market expectations and cost-containment efficacy. • Work with the Data Analytics team to build out model(s) for deeply understanding drug spend forecasts, and build reports to maximally automate the process of spend forecasting given customer specific trends. • Actively participate in customer level assessment for ongoing retention activity • Work closely with Sales and Proposals teams to craft offers to pharmacy consultants, brokers, and clients which properly reflect SmithRx’s value. • Engage pharmacy consultants and brokers to educate the market about SmithRx’s market trend expectations and how Smith manages to optimize client outcomes against trend. • Various other ad hoc strategic projects aimed supporting SmithRx growth initiatives

Role Description 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. - 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. Qualifications - 12–18+ 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. Company 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.

• Lead and develop a high performing team of Regional Sales Managers (RSMs) and Agronomic Technical Consultants (ATCs) • Execute sales strategies to drive growth and profitability. • Coach and mentor sales teams through ride-a longs, training, and performance development. • Strengthen customer relationships and support grower success. • Manage forecasting, CRM reporting, and pipeline visibility. • Collaborate with Marketing and Product teams to align business strategies.