Job description
Career Category Finance 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 .