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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.
Job Responsibility:
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
Requirements:
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