BAI – Senior Manager, Global Oncology Forecasting Lead

Amgen•Thousand Oaks, CA
•$141,737 - $191,761•Hybrid

About The Position

The Global Oncology Forecasting Lead leads forecasting efforts for pipeline assets and diseases within Amgen’s Global Oncology business unit. The role partners with commercial leadership by providing data-backed insights that inform commercial decisions and future strategies. It works with product and brand forecasters to develop cross-brand insights, ensure forecast quality and consistency, promote best practices, coach junior forecasters, and turn forecasting analytics into concise strategic recommendations for brand teams. The position collaborates with stakeholders across Commercial, R&D, Medical, Finance, Manufacturing, Access, and Pricing/Contracting, applying knowledge of relevant disease areas and markets. It supports strategic recommendations and product go/no-go decisions, communicates forecasts and insights to leadership, develops and applies advanced forecasting methods, leads forecasting methodology and platform initiatives, and improves processes and deliverable quality across brands and assets. The position reports to the Senior Director of Global Forecasting and operates within Global Customer Capabilities & Innovation (GCCI). This is a flexible commuter role based at the Thousand Oaks office, with an expectation to work onsite two days per week.

Requirements

  • Doctorate degree and 2 years of Pharma/Biotech forecasting, demand planning, or supply chain management experience; or a master’s degree and 4 years; or a bachelor’s degree and 6 years; or an associate’s degree and 10 years; or a high school diploma/GED and 12 years.
  • Ability to quickly establish credibility with and influence executive director- and vice president-level staff.
  • Strong project management skills, including organizing and completing multiple projects efficiently and on time.
  • Understanding of developments in the biopharmaceutical industry and 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 their potential effects 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.
  • Ability to collaborate in a team-based environment and gain 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.

Nice To Haves

  • Prior experience in oncology.
  • Six or more years of forecasting, market research, or business analytics experience in the biopharmaceutical or healthcare industries.

Responsibilities

  • Support leadership in identifying actionable strategies to improve commercial potential and prioritize risks and opportunities.
  • Recommend and provide 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, focusing on business dynamics rather than modeling details.
  • Work with product and brand forecasting leads to deliver transparent presentations explaining key forecast variables and revenue implications.
  • Develop brand- and portfolio-level analyses and recommendations for a VP-level audience.
  • Use communication and interpersonal skills to help shape brand decisions and recommended courses of action.
  • Support and coach forecasters in developing detailed, advanced models that project 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 improve forecasting approaches and methodologies.
  • Lead forecasting methodology and best-practice development, ensuring consistency across brand forecasts.
  • Lead rollout of a centralized forecasting platform.
  • Collaborate with the broader BAI organization so product and brand forecasters can access relevant insights and analytics.
  • Use insights from across the organization to improve forecast depth and accuracy.
  • Explore AI/ML and automation, identify team capability gaps, and build skills.
  • Own multi-brand forecasts, challenge entrenched assumptions, and drive improvements across forecasting cycles.
  • Standardize forecasting processes where possible to improve productivity and efficiency.
  • Oversee deliverables across brands and assets and ensure quality.

Benefits

  • Retirement and Savings Plan with company contributions.
  • Group medical, dental, and vision coverage.
  • Life and disability insurance.
  • Flexible spending accounts.
  • Discretionary annual bonus program (or a sales-based incentive plan for field sales representatives).
  • Stock-based long-term incentives.
  • Award-winning time-off plans.
  • Flexible work models where possible.
  • Career development opportunities.
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