BAI – Senior Manager, Global Oncology Forecasting Lead

Amgen•Thousand Oaks, CA

4d•$141,737 - $191,761•Hybrid

About The Position

The Global Oncology Forecasting Lead leads forecasting for pipeline assets and diseases within Amgen’s Global Oncology business unit. As a strategic partner to commercial leadership, the role develops cross-brand insights, supports forecast quality and consistency, promotes best practices, and coaches and mentors junior forecasters. The lead translates forecasting analytics into clear, executive-ready strategic recommendations and works with stakeholders across Commercial, R&D, Medical, Finance, Manufacturing, Access, and Pricing/Contracting. The role supports leadership in identifying strategies to improve commercial potential, prioritizing risks and opportunities, and providing recommendations on product go/no-go decisions. It partners with product and brand forecasting leads to develop and present brand- and portfolio-level analyses, and uses advanced forecasting methods to project units and revenue, quantify uncertainty, and improve forecasting approaches. The position also leads methodology and best-practice development, supports rollout of a centralized forecasting platform, explores AI/ML and automation, owns multi-brand forecasts, and improves process efficiency and deliverable quality. This role reports to the Senior Director of Global Forecasting and operates within Global Customer Capabilities & Innovation (GCCI). It is a flexible commuter role requiring on-site work at the Thousand Oaks office two days per week.

Requirements

Doctorate degree and 2 years of Pharma/Biotech forecasting, demand planning, or supply chain management experience; or master’s degree and 4 years; or bachelor’s degree and 6 years; or associate’s degree and 10 years; or high school diploma/GED and 12 years.
6+ years of forecasting, market research, or business analytics experience in the biopharmaceutical or healthcare industries.
Ability to quickly establish credibility with and influence executive director- and vice president-level staff.
Strong project management skills and ability to organize and complete multiple projects efficiently and on time.
Understanding of biopharmaceutical industry developments, unmet medical needs, and opportunities in oncology.
Experience with advanced forecasting techniques, patient-based forecast modeling, including dynamic patient flow models, analog analysis, and uptake curve analysis.
Experience with quantitative techniques including smoothing, regression, time series analysis, and simulation.
Working knowledge of forecasting inputs and structure, global access and reimbursement policies, competitive environments, and potential impacts on product development and commercialization strategy.
Working knowledge of commonly used biopharmaceutical industry databases, such as IQVIA, Symphony Health, Flatiron, EMR, Optum, Truven, McKesson, and DRG, and other large datasets requiring custom analysis and evaluation.
Highly skilled at collaborating in a team-based environment and gaining alignment across an organization.
High proficiency in Excel, PowerPoint, and Word.
Excellent communication skills, including presenting complex data and insights to technical and non-technical partners and senior management.
Ability to interpret and analyze data trends, identify patterns, and make data-driven decisions.
Experience contributing to long-term business plans based on forecasting insights.
Ability to work on-site at the Thousand Oaks office two days per week.

Nice To Haves

Prior experience in oncology.

Responsibilities

Support leadership in identifying actionable strategies to improve commercial potential and prioritize key risks and opportunities.
Provide recommendations and rationale for product go/no-go decisions based on market conditions, financial projections, and strategic goals.
Present forecast recommendations and insights to leadership in a concise manner focused on business dynamics.
Work with product and brand forecasting leads to deliver transparent presentations describing key forecast variables and revenue implications.
Develop brand- and portfolio-level analyses and recommendations for VP-level audiences.
Use communication and interpersonal skills to shape brand decisions and recommended courses of action.
Support and coach forecasters in developing detailed, advanced forecast models projecting units and revenue for oncology pipeline products by indication and region.
Use advanced simulation models, including Monte Carlo analysis and statistical trending, to quantify uncertainty within brands and across the Global Oncology portfolio.
Apply knowledge of pharmaceutical data sources and their nuances to forecasting approaches and methodologies.
Lead forecasting methodology and best-practice development and ensure consistency across multiple brand forecasts.
Lead rollout of a novel centralized forecasting platform.
Collaborate with the broader BAI organization so product and brand forecasters can access relevant insights and analytics.
Improve forecast depth and accuracy by leveraging insights across the organization.
Explore AI/ML and automation, identify team capability gaps, and build skills.
Own multi-brand forecasts, challenge entrenched assumptions, and drive process improvements across cycles.
Standardize forecasting processes where possible to improve productivity and efficiency.
Oversee deliverables across brands and assets and ensure quality.