Associate Director, IO Forecasting

Ready to turn rigorous forecasting into decisions that change the trajectory of cancer care? As Associate Director, IO Forecasting, you will own the end-to-end forecasting agenda for a flagship Immuno-Oncology brand in the US, delivering the clarity our business needs to invest with confidence and reach more patients. Your work will set the pace for planning, launch readiness, and supply—translating complex signals into a single, credible view of the future.

You will be a thought partner to commercial leaders, building short- and long-term outlooks through patient-flow models and statistical trending, and crystallizing risks, opportunities, and scenarios. Working in close partnership with Insights & Analytics, Marketing, Sales, Market Access, Sales Operations, Global Analytics & Insights, Supply Planning, and Finance, you will align assumptions and narrative, then bring them to life for senior stakeholders. Do you thrive at the intersection of analytics, storytelling, and impact?

In a dynamic Oncology environment, you will also help advance our AI-enabled forecasting capabilities—accelerating insight generation, improving precision, and scaling best practices across the portfolio.

Accountabilities:

• US IO Forecast Leadership: Lead US forecasting and business planning for new Immuno-Oncology products, consolidating the IO portfolio forecast to inform strategy, resource allocation, and performance management.
• Forecast Model Ownership: Build, maintain, and continuously refine product-specific short- and long-term models that are transparent, scenario-ready, and grounded in patient and market dynamics.
• Market Drivers and Scenario Planning: Identify and pressure test key volume and value drivers, quantify risks and opportunities, and translate uncertainty into actionable scenarios for decision-making.
• Cross-Functional Alignment: Partner with commercial leaders and forecast collaborators to align on assumptions and performance narrative, ensuring one authoritative forecast informs all planning cycles.
• Brand Performance Analytics: Deliver in-depth analyses for critical business deliverables, connecting the “why” behind performance to strategic choices and next best actions.
• AI-Enabled Forecasting: Incorporate AI analytical tools into forecasting workflows; support ongoing development of the AI forecasting platform to improve speed, accuracy, and automation.
• Competitive and Market Monitoring: Track the external environment, competitive moves, and market developments; quickly reflect changes in forecast assumptions and guidance.
• Evidence Integration: Consult on primary market research and leverage secondary analytics to strengthen assumptions and validate signals.
• Executive Storytelling: Create and deliver compelling presentations to senior leaders, highlighting critical insights, implications, and recommended actions.
• C-Level Narrative Partnership: Collaborate with senior US leaders to craft a clear, concise performance narrative for a C-level audience.
• People Leadership and Coaching: Guide Forecasting & Performance Senior Managers and Senior Analysts, raising the bar on rigor, clarity, and influence.
• Capability Building and Automation: Advance forecasting capabilities and drive process efficiencies, automation, and innovation that scale across brands.

Essential Skills/Experience:

• Bachelor's degree, preferably in a quantitative field (e.g., Engineering, Data Science, Statistics, Math, Economics, Computer Science, Operations Research).
• proven experience at a pharmaceutical/biotechnology manufacturer or in the biopharmaceutical industry (e.g., forecasting, data/analytics, management consulting, market research, investment banking).
• 4 years of experience in forecasting: building models, leading input evaluation, communicating outputs, and guiding business decisions; 2 years specifically in a biopharmaceutical role.
• Deep expertise in building pharmaceutical forecast models and leading/optimizing the full forecasting process.
• Experienced in evaluating analytics from pharmaceutical data sources (APLD, IQVIA, claims) and epidemiological data (Kantar, DRG).
• Experience with primary market research, advanced analytics, and competitive intelligence.

Desirable Skills/Experience:

• Advanced Quantitative Degree or Advanced Marketing Degree (e.g., MBA).
• Experience working in Oncology.

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.

Why AstraZeneca:

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