Manager, Transformation Analytics

Amgen•Thousand Oaks, CA

About The Position

Join Amgen’s Mission of Serving Patients. At 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 do Let’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.)

Requirements

Doctorate degree
Master’s degree and 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
Bachelor’s degree and 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
Associates degree and 9 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
High school diploma / GED and 9 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
Proficiency in coding (R, Python, SQL), data libraries such as Numpy and Pandas and other industry standard AI/ML toolsets
Experience with statistical / mathematical modeling, ability to work with structured and unstructured data sets, and harmonize complex data and information
Experience processing, transforming filtering, and presenting large quantities of data extracted directly from the source systems
Experience with automating data workflows to pull, filter, modify and transform data to then analyze and visualize
Experience with developing / overseeing development of analytical dashboards using a variety of tools/packages, e.g. Tableau, Python, R, Alteryx, Powerapps, UI Path etc.
Experience setting up reporting layers, maintenance & use of reporting tools
Critical thinking: Ability to tackle complex and ambiguous problems, provide clarity of thought, and deliver results
Teamwork: Builds strong relationships across the network, can effectively collaborate with cross functional teams and a diverse set of partners
Comfortable in "start-up" environment of a newly created Amgen group whose remit is to build a durable and data driven transformation capability

Nice To Haves

Master’s degree in data science, data engineering, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field and 4 years of relevant experience in data science, data analytics, consulting (MBA Preferred)
Understanding of / experience in the Bio-Pharmaceutical industry

Responsibilities

Support 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 identification
Support 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 workforce
Develop and maintain financial and non-financial baseline for programs and initiatives, identifying trends and opportunities for transformation by analyzing complex data sets
Create a robust management reporting capability based on data mining, analysis, and visualization
Analyze data to answer key questions from senior leaders with an eye for what drives business performance, investigating and communicating opportunities of comprehensive value delivery
Requires independent leadership (will lead cadence, decisions, dependencies, and accountability for a defined pod), executive-facing, data judgment, and end-to-end ownership of complex work
Independent thinking, shape priorities, discuss data, risks, and tradeoffs directly with senior leaders.
Work closely with business and initiative leadership to define data sources and transformation needed to develop a platform for workforce transformation
Develop technology and workforce business cases for new opportunities
Manage the development and maintenance of data models and analytical toolsets (e.g., Anaplan, Power suite, Codex) required to deliver insights at scale
Own 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 making
Influence transformative thinking and decisions with analytical insights and an ability to build collaborative relationships
Partner with business areas to share data standard methodologies and support implementation
Assist in developing business cases and strategic recommendations, perform ad hoc analyses, and support special projects
Interact with various finance and resource planning groups across Amgen to understand impact to budget/long range plans
Develop executive communications and present analysis and insights to Amgen’s senior leadership
Converts ambiguous asks into scoped workstreams, anticipates risks and pull the right partners in early, and operate with enough independence to create momentum

Benefits

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible.

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