Manager, Transformation Analytics Job at Amgen

Job Description

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.

Job Responsibility

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

Requirements

Doctorate degree
Or Master's degree and 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
Or Bachelor's degree and 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
Or Associates degree and 9 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
Or 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

Nice to have

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)
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
Understanding of / experience in the Bio-Pharmaceutical industry
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

What we offer

Retirement and Savings Plan with generous company contributions
Group medical, dental and vision coverage
Life and disability insurance
Flexible spending accounts
Discretionary annual bonus program
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

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