Career Level - D3

Shift: 2 PM -11 PM IST, Hybrid (3 days a week in office)

Introduction to role

Are you ready to leverage your forecasting expertise to impact patients and ultimately save lives? As a Manager in Forecasting at AstraZeneca, you'll be at the forefront of transforming our ability to develop life-changing medicines. Based at Manyata Tech Park, Bangalore, and working a hybrid shift from 2 PM to 11 PM IST, you'll collaborate with global teams to drive strategic brand forecasts. Join us in a dynamic environment where your insights will guide brand strategy and contribute to our mission of pushing the boundaries of science.

As a Forecast Manager, you will work closely with the Forecast Leader and cross-functional teams to develop brand forecasts for strategic brands and early assets. You will be responsible for creating and maintaining forecast models, identifying key business issues, and incorporating research results into forecasts. Your role will also involve leading a team of forecasters, ensuring quality outputs, and driving continuous improvement activities. Collaborate extensively with internal and external stakeholders to resolve process-related issues and optimize forecasting processes.

• 15+ years of direct Pharmaceutical forecasting experience with a solid knowledge of forecasting techniques, models and approaches
• Experience utilizing a range of data sources and analytics involving standard data in the Pharmaceutical industry – e.g. IQVIA (MIDAS, DDD NPA, Monthly Xponent), claims data (Truven, Marketscan), epidemiological data, etc. For US forecasting, experience with TRx / NBRx / NRx data and methodologies
• Strong analytical expertise; superior Excel, financial modelling and forecasting skills
• Project management experience including risk mitigation, planning and running multiple projects running in parallel
• Ability to build trusted relationships across a range of partner groups including Marketing, Analytics, Operations, and Technology
• Demonstrated experience in problem solving and continuous improvement
• Strong written and verbal communication

• Good understanding of multiple disease areas and how patients move through their respective diagnosis and treatment pathways, including treatment dynamics
• Experience integrating insights from market research and secondary data analysis into forecast assumptions
• Knowledge of advanced statistical forecast methodologies and applied AI / ML / automation
• Understand working on a forecasting platform – including transitioning current BAU to a forecasting platform
• Experience working with Power Apps, specifically PowerBI
• For US forecasting, working knowledge of US Market Access and gross-to-net

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we are driven by a purpose-led mission to push the boundaries of science and discover life-changing medicines. Our work has a direct impact on patients, empowering us to perform at our peak by combining cutting-edge science with leading digital technology platforms. We are committed to innovation and collaboration, creating new ways of working that drive exponential growth. With a focus on technology and data solutions, we are transforming the industry and making a meaningful impact every day.

Ready to make a difference? Apply now to join our team and be part of something bigger!

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.