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.