Strategic Planning & Operations Finance Mgr

About The Role

The Finance Manager supports the Engineering Strategic Planning & Operations (SPO) organization at Amgen India (AIN) by overseeing financial planning, analysis, and operational reporting across Engineering programs. The role manages Engineering budgets, forecasts, variance analysis, accruals, purchase orders, and financial reporting while supporting productivity initiatives and operational projects.

The position also provides financial governance for outsourced service provider programs, including Integrated Facility Maintenance (IFM), Food Services, Lab Asset Maintenance (LAMP), Lab Support Services (LSS), and Transportation programs. Responsibilities include supporting budgeting, forecasting, bid analysis, invoice processing, accruals, and change management across these programs. Additionally, the role develops financial models and leverages reporting and analytics tools to support operational insights, maintain financial documentation and SOPs, and help standardize processes across sites in alignment with global solutions.

Roles & Responsibilities

Financial Planning & Performance Management

• Manage Engineering budgets, forecasts, variance analysis, and financial reporting across the SPO organization
• Prepare and communicate monthly financial performance updates, quarterly forecasts, and expense projections to leadership
• Manage financial reconciliations and accrual processes to ensure accurate financial reporting
• Oversee purchase order management and financial tracking across Engineering programs
• Manage and track Engineering productivity initiatives to deliver targeted cost savings and operational efficiencies
• Support financial analysis and operational initiatives aligned with Engineering priorities
  
  

Outsourced Program Financial Governance

• Manage financial oversight of outsourced service provider programs, including Integrated Facility Maintenance (IFM), Food Services, Lab Asset Maintenance (LAMP), Lab Support Services (LSS), and Transportation programs
• Lead financial components of bid processes including financial modeling, baseline development, and bid document preparation
• Establish financial baselines and collaborate with global sites to ensure consistent cost structures and reporting
• Manage budgeting, forecasting, invoice processing, accruals, and change order management related to outsourced programs
• Monitor financial performance of service providers and support financial integration of new sites
• Develop governance reporting and financial performance tracking across outsourced programs
  
  

Data, Reporting & Process Governance

• Develop financial models and reporting tools to support operational insights and leadership decision-making
• Leverage analytics platforms such as Excel, Tableau, Power BI, Smartsheet, Power Automate, and Alteryx to analyze operational and financial data
• Create dashboards and reporting frameworks to monitor program performance and financial trends
• Maintain financial documentation including Standard Operating Procedures (SOPs), manuals, and reporting frameworks
• Support standardization and continuous improvement of financial and reporting processes aligned with global Engineering solutions
  
  

Preferred Qualifications

• Ability to operate effectively in a matrixed organization within a dynamic and evolving environment
• Strong communication and collaboration skills with the ability to work across multiple functions and levels of the organization
• Demonstrated quantitative and qualitative analytical capabilities, including financial analysis and financial modeling
• Experience supporting financial governance or oversight of outsourced service provider programs
• Ability to manage multiple projects simultaneously while delivering high-quality results
• Proven ability to manage multiple responsibilities, priorities, and deadlines with minimal supervision
• Strong data and analytical skills with experience leveraging reporting and analytics tools (e.g., Excel, Tableau, Power BI, Smartsheet) to support data-driven decision-making