Senior Manager, Transformation Analytics

Job Description

What You Will Do In this vital role, you will be a member of the Transformation Analytics team, supporting Amgen's Technology & Workforce Strategy. We are seeking a highly motivated leader who will maximize financial and data analytics to enable enterprise-wide workforce transformation by connecting data across people, finances, and capabilities for business insights and decisions. In this role, you will lead and supervise an Analytics pod consisting of 1-3 junior resources, delivering critical analytics and insights throughout the value journey, including: Developing resource, financial, and capability baselines Creating taxonomies, analytics data packs, and business cases Value confirmation and realization Collaborating with Technology teams to support automation and continuous improvement Ultimately, you will build a sustainable platform for ongoing transformation. Team Leadership & Key Responsibilities Lead a team of 1-3 analysts to support financial and data analyses, ensuring accurate insights. Manage workforce strategy deliverables, including financial modeling, case development, value confirmation, and realization. Conduct activity-based cost analysis, identifying strategic cost-saving initiatives. Evaluate vendor performance, recommending optimization strategies for cost management. Identify areas of opportunity, collaborating cross-functionally to drive organizational improvements. Lead system updates & scenario modeling, integrating data across multiple systems, optimizing financial models, and improving predictive capabilities. Conduct external market analysis, providing strategic recommendations to enhance competitiveness. Facilitate data integration, ensuring insights are aligned with business priorities and performance objectives. Support automated data workflows, collaborating with IT and business teams for process improvements. Collaborate across global teams, ensuring timely and accurate analytics delivery. Engage with finance and resource planning groups to analyze budget/long-range plans impacts. Drive a single source of truth for transformation data within Organization Planning, Insights & Analytics (OPI&A). Basic Qualifications Doctorate degree with 2 years of Data Analytics / Finance experience OR Master's degree with 8-10 years of applicable experience OR Bachelor's degree with 10-14 years of data science, finance, business, statistics, applied mathematics, business analytics, engineering, or computer science experience OR Diploma with 14-18 years of Data Analytics, Science & Technology Management, or Finance experience 4+ years of managerial experience, leading people, teams, projects, or programs. Ability to connect the dots across matrixed organizations. Proficiency in Microsoft Excel. Passion for data exploration, visualization, and building data-driven narratives. Strong intellectual curiosity, ability to learn new concepts and methods. Experience applying technical skills to complex business problems using Digital Products. Proficiency in financial modeling, data analytics, and business intelligence tools. Understanding of financial data and systems. Preferred Qualifications Master's degree in Finance, Data Science, Business Analytics, Engineering, Computer Science, or Chartered Accountant certification with 6-8 years of relevant experience (MBA preferred). Expertise in complex financial modeling (Excel). 4+ years of managerial experience, leading teams, projects, or programs. Strong understanding of Finance, HR & Procurement systems and data. Experience in budgeting, forecasting, and strategic planning. Knowledge of the impact of business decisions on financial statements (P&L, Balance Sheet, Cash Flow). Experience in Bio-Pharmaceutical industry transformation projects using recent technology advancements. Prior multinational corporate experience (Capability center or other). Experience with Oracle Hyperion/EPM, SAP, Anaplan, PowerBI, Tableau. Familiarity with scripting languages (SQL, Python) and AWS services (S3, Redshift). Expertise in data modeling, analytics, and visualization tools (Tableau, Alteryx, Databricks, PowerBI). Experience integrating data across business areas for data logic derivation. Strong ability to translate complex functionality into business requirements. Executive-level communication skills, including written and oral presentations. ERP system expertise with financial planning, analysis, and reporting. Soft Skills Effective communication and people management skills. High integrity and ethical standards. Strong problem-solving and critical-thinking abilities. Ability to influence and lead organizational change. Adaptability to a dynamic and challenging environment