Career Category

Job Description

The Ops Finance Digital Technology Senior Manager will play a key role in enhancing and managing finance-related technology solutions to support Amgen’s Operations Finance team. This role requires strong expertise in corporate finance and accounting principles, combined with a deep understanding of financial systems, data analytics tools, and process automation.

The individual will collaborate with cross-functional teams to implement, optimize, and maintain financial technology platforms, ensuring they align with business needs and strategic goals.

Roles & Responsibilities:

• Lead the implementation, integration, and optimization of financial technology systems, including SAP, Hyperion, Tableau, Smartsheet, Anaplan, and other finance and data tools.
• Collaborate with Operations Finance to streamline financial processes, automate reporting, and enhance data accuracy.
• Support financial planning, forecasting, and data modeling through advanced technology solutions.
• Ensure data integrity, security, and compliance across all finance-related systems.
• Identify opportunities for process improvements using automation and analytics.
• Provide guidance on system enhancements, data governance, and financial system integrations.
• Support financial reporting and analytics to improve decision-making.
• Partner with IT and Finance teams to troubleshoot issues and implement solutions.
• Stay updated on emerging financial technologies and best practices.
• Develop business cases and presentations on finance technology enhancements.

Functional Skills Required:

• Strong understanding of corporate finance and accounting principles.
• Experience working with finance systems, including SAP, Hyperion, Tableau, Smartsheet, and Anaplan.
• Expertise in financial data analytics, reporting, and forecasting tools.
• Experience in automation and process optimization within finance functions.
• Ability to support and improve data governance, financial controls, and compliance.
• Knowledge of ERP, FP&A, and BI tools relevant to finance.

• Familiarity with cloud-based finance solutions (AWS, Azure, Google Cloud, Databricks).
• Exposure to data visualization and dashboarding tools.
• Experience with SQL, Python, or other programming languages.
• Understanding of RPA (Robotic Process Automation) tools for finance processes.
• Knowledge of machine learning and AI applications in finance.