Senior Manager/Associate Director - Forecasting

Summary

Join Tiger Analytics, a leader in AI and advanced analytics, as a Data Professional specializing in demand forecasting and resource allocation within the pharmaceutical and life sciences sector. You will build and implement advanced forecasting models, collaborating with cross-functional teams. The role requires strong communication skills to effectively convey forecasting strategies to stakeholders. You will also mentor junior analysts and stay current on industry innovations. A graduate degree in a quantitative field and 10-16 years of relevant experience are required, with at least 7 years in pharma/life sciences data analytics and forecasting. This position offers significant career development opportunities in a fast-growing environment.

Requirements

• Graduate degree in Business Analytics, MBA, or equivalent work experience in a relevant quantitative field
• 10–16 years of professional experience, with at least 7 years in data analytics and forecasting in the pharma/life sciences domain
• Strong expertise in time-series forecasting, including seasonality adjustments and use of exogenous variables (e.g., macroeconomic and marketing data)
• Hands-on experience working with pharmaceutical data sources such as Veeva, IQVIA (PlanTrak, LAAD, PE), and RWD sources like TriNetX, Flatiron, Optum, and Komodo
• Experience applying advanced data science techniques to solve commercial and strategic problems in pharma
• Strong foundation in statistics and econometrics, with practical experience using statistical tools in Python or SAS
• Proven ability to design, build, and scale interpretable forecasting models for both short-term and long-term planning
• Proficiency in data visualization using Tableau, including dashboard development, publishing, and automation
• Strong programming and data manipulation skills in Python and SQL, with the ability to write complex queries
• Excellent communication and stakeholder management skills, with the ability to translate analytics into actionable business insights

Responsibilities

• Effectively communicate forecasting strategies and methodologies to cross-functional stakeholders, ensuring alignment with business objectives across teams
• Promote a culture of data-driven decision-making, educating stakeholders on the how and why behind demand forecasts, scenario planning, and probabilistic modeling to drive adoption and trust
• Led the development and implementation of advanced forecasting models, collaborating with data engineers, therapeutic area leads, supply planners, and commercial analytics teams to ensure solutions were practical, integrated, and impactful
• Design and deploy scalable, transparent, and dynamic forecasting models that can adapt to changes in market dynamics, regulatory shifts, or product life cycle stages
• Foster a collaborative learning environment by mentoring junior analysts and engaging with other data scientists to continuously evolve best practices in pharmaceutical forecasting
• Engage with external communities and industry conferences to stay current on innovations in statistical and time-series modeling, causal inference, and AI/ML applications in pharma
• Respond to regulatory and investor demands with innovative forecasting solutions that provide clarity, defensibility, and foresight using cutting-edge analytics tools and statistical techniques

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility