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:
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Lead the implementation, integration, and optimization of financial technology systems, including SAP, Hyperion, Tableau, Smartsheet, Anaplan, and other finance and data tools.
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Collaborate with Operations Finance to streamline financial processes, automate reporting, and enhance data accuracy.
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Support financial planning, forecasting, and data modeling through advanced technology solutions.
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Ensure data integrity, security, and compliance across all finance-related systems.
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Identify opportunities for process improvements using automation and analytics.
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Provide guidance on system enhancements, data governance, and financial system integrations.
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Support financial reporting and analytics to improve decision-making.
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Partner with IT and Finance teams to troubleshoot issues and implement solutions.
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Stay updated on emerging financial technologies and best practices.
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Develop business cases and presentations on finance technology enhancements.
Functional Skills Required:
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Strong understanding of corporate finance and accounting principles.
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Experience working with finance systems, including SAP, Hyperion, Tableau, Smartsheet, and Anaplan.
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Expertise in financial data analytics, reporting, and forecasting tools.
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Experience in automation and process optimization within finance functions.
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Ability to support and improve data governance, financial controls, and compliance.
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Knowledge of ERP, FP&A, and BI tools relevant to finance.
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Familiarity with cloud-based finance solutions (AWS, Azure, Google Cloud, Databricks).
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Exposure to data visualization and dashboarding tools.
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Experience with SQL, Python, or other programming languages.
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Understanding of RPA (Robotic Process Automation) tools for finance processes.
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Knowledge of machine learning and AI applications in finance.
