BAI – Senior Manager, US Forecasting, Oncology

Amgen•Deerfield, IL

3d•$141,737 - $191,761•Hybrid

About The Position

The Senior Manager, US Forecasting, Oncology contributes to Amgen’s inline brand strategy by developing, executing, and managing forecasts and discussions with brand leads and commercial leaders. The role is a strategic partner to Commercial leadership, providing data-backed insights to support commercial decisions. It requires influencing collaborators across Commercial, R&D, Medical, Finance, Manufacturing, Access, and Pricing/Contracting, while understanding the relevant disease area and markets. The position reports to the Director of US Oncology Forecasting and operates within Global Customer Capabilities & Innovation (GCCI). This is a flexible commuter role based at the Thousand Oaks office, with on-site work 2–3 days per week. The Senior Manager develops advanced forecasting models and methodologies, analyzes market and competitive dynamics, facilitates cross-functional alignment, communicates forecast drivers and strategic implications, and improves the consistency, efficiency, auditability, and scalability of forecasting processes. The role also collaborates with the broader BAI organization and explores AI/ML and automation opportunities.

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.
Ability to build advanced forecasting models and use statistical modeling and data analysis techniques.
Ability to influence and challenge collaborators across commercial and cross-functional teams.
Ability to analyze market dynamics, policy and pricing changes, and competitive events.
Strong communication and interpersonal skills, including the ability to present complex data and insights to technical and non-technical partners.
Ability to interpret data trends, identify patterns, and make data-driven decisions.
Proficiency in Excel, PowerPoint, and Word.
Ability to collaborate in a team-based environment and gain alignment across an organization.

Nice To Haves

Prior oncology experience.
Ability to quickly establish credibility with and influence ED/VP-level staff.
Knowledge of industry internal and secondary data sources, including experience with analog and uptake-curve analysis.
Experience contributing to long-term business plans based on forecasting insights.

Responsibilities

Build detailed forecasting models for inline products by indication, including patient, prescription, and sales forecasts projecting units and revenue.
Use simulation techniques, including Monte Carlo analysis and statistical trending, to quantify forecast uncertainty.
Apply pharmaceutical data sources and their nuances to improve forecasting approaches and methodologies.
Lead methodology development and ensure consistency across multiple brand forecasts.
Design forecasting frameworks that support what-if analysis and scenario planning.
Analyze competitors and market dynamics to inform forecasts and strategic decisions.
Integrate insights across functions and capability areas to develop objective brand strategies.
Interpret policy and pricing changes, including IRA and access shifts, and quantify their impact.
Serve as a key point of contact for regional brand leads on forecasting deliverables.
Facilitate discussions and build consensus on rigorous sales expectations for in-line and lifecycle management indications.
Advise cross-functional teams on the implications of clinical milestones and competitive events.
Challenge established assumptions and drive process improvements across forecasting cycles.
Support leadership in identifying actionable strategies to improve commercial potential and prioritizing risks and opportunities.
Provide recommendations on continuing or discontinuing product development based on market conditions, financial projections, and strategic goals.
Maintain awareness of broader market dynamics and incorporate them into therapeutic-area forecasts.
Develop and deliver transparent presentations that explain forecast variables to decision-makers.
Influence leadership through clear communication of recommended courses of action, forecast changes, risks, and opportunities.
Collaborate with the broader BAI organization to incorporate insights and analytics into forecast development.
Explore AI/ML and automation opportunities, identify team capability gaps, and build skills.
Standardize forecasting processes where possible to improve productivity and efficiency.
Oversee deliverables across brands and assets and ensure forecasts are auditable and scalable.

Benefits

Health and welfare plans for staff and eligible dependents.
Retirement and savings plan with company contributions.
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.