Manager, Transformation Analytics

Career CategoryFinanceJob DescriptionJoin Amgen’s Mission of Serving PatientsAt Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.What you will doLet’s do this. Let’s change the world. In this vital role you will support the Finance Transformation and Amgen leadership by using advanced analytics and strategic thinking to characterize business performance across the enterprise, evaluate potential transformation opportunities, and enable step change in business outcomes. The role will support the design and development of financial and workforce analytical capabilities to measure and improve enterprise business performance and provide insights for top priority persistent business questions. Ultimately, this role will support data-driven decision making, building a foundational capability to provide end-to-end insight into business process performance and improvements. We are seeking a Data Scientist who will apply innovative quantitative tools, including but not limited to: AI/ML based modeling and analytics, multivariate statistical and empirical modeling, data warehousing and data automation / tooling of complex data workflows. A successful candidate is expected to have advanced skills in modern data architecture, data modeling and data visualization, as well as a working understanding of finance, procurement and human resources.The Data Scientist will collaborate with other data scientists, business SMEs, and Technology professionals to develop workflows and infrastructure to enable development of baselining and long range financial planning tools, business cases and value capture modeling, and connecting the gamut of cross functional and finance data for ongoing transformation.This role will interact with a wide range of cross-functional business partners at all levels to understand processes, analyze data, and articulate comprehensive value delivery (cost, speed, risk, quality, etc.)Objectives of this RoleSupport design, build and maintenance of a groundbreaking capability to analyze financial and non-financial information across the enterprise to derive critical business insights for enterprise transformation and opportunity identificationSupport the buildout of a sustainable platform for workforce transformation, which connects several domains of data to enable better decision making around our capabilities, finances and workforceDevelop and maintain financial and non-financial baseline for programs and initiatives, identifying trends and opportunities for transformation by analyzing complex data setsCreate a robust management reporting capability based on data mining, analysis, and visualizationAnalyze data to answer key questions from senior leaders with an eye for what drives business performance, investigating and communicating opportunities of comprehensive value deliveryRequires independent leadership (will lead cadence, decisions, dependencies, and accountability for a defined pod), executive-facing, data judgment, and end-to-end ownership of complex workIndependent thinking, shape priorities, discuss data, risks, and tradeoffs directly with senior leaders.Job Responsibilities:Work closely with business and initiative leadership to define data sources and transformation needed to develop a platform for workforce transformationDevelop technology and workforce business cases for new opportunitiesManage the development and maintenance of data models and analytical toolsets (e.g., Anaplan, Power suite, Codex) required to deliver insights at scaleOwn and lead cross functional analytics projects from beginning to end, from building relationships with key business leaders to collecting and analyzing data, as well as summarizing and presenting key insights in support of decision makingInfluence transformative thinking and decisions with analytical insights and an ability to build collaborative relationshipsPartner with business areas to share data standard methodologies and support implementationAssist in de