Gross-to-Net & Sales Forecasting Lead

Novartis AG; East Hanover (NJ); On-site; USD 120,000 - 222,000; Full time

Benefits offered by this job

Relocation support

Sponsorship for role

Performance-based incentive

Job summary

Novartis AG in East Hanover, NJ seeks an Associate Director, Gross-to-Net Planning to lead forecasting for Commercial and Medicare segments, translating contract terms and payer dynamics into actionable insights. You will collaborate with Market Access, Public Policy, Finance and other U.S.

stakeholders to strengthen forecast accuracy. The role emphasizes automation, cross-functional alignment, and integrating AI-enabled analytics into planning.

Qualifications

• Bachelor's degree in Finance, Accounting, Business Administration, Economics, or related field.
• 5+ years in Finance, including pharma industry experience.
• Strong understanding of gross-to-net, forecasting, and financial analysis.
• Ability to synthesize complex financial data into actionable insights for senior leaders.
• Advanced proficiency with Excel and analytics tools (BPC, Qlik, Power BI).

Responsibilities

• Lead gross-to-net forecasts for Commercial and Medicare segments.
• Translate contract terms and payer dynamics into robust forecast assumptions.
• Analyze invoice-to-payment discrepancies and market changes for risks/opportunities.
• Partner with Financial Revenue Accounting on accruals, close activities, and reconciliations.
• Align cross-segment assumptions with documentation, controls, and reconciliations.
• Drive process improvements and automation across gross-to-net planning and dashboards.

Skills

Finance experience

Forecasting

Excel

Power BI

Qlik

BPC

Communication

Education

Bachelor's degree

Tools

Excel

BPC

Qlik

Power BI

Job description

Novartis AG in East Hanover, NJ seeks an Associate Director, Gross-to-Net Planning to lead forecasting for Commercial and Medicare segments, translating contract terms and payer dynamics into actionable insights. You will collaborate with Market Access, Public Policy, Finance and other U.S.

stakeholders to strengthen forecast accuracy. The role emphasizes automation, cross-functional alignment, and integrating AI-enabled analytics into planning.