Data Sciences Senior Manager

Amgen is one of the world’s leading biotechnology companies. Amgen is a values-based company, deeply rooted in science and innovation to transform new ideas and discoveries into medicines for patients with serious illnesses.

As part of a new group within Commercial information Management the Data Scientist Sr. Manager will lead initiatives and collaborate with business partners, service owners and IS peers to define and manage a capability and technology roadmap for delivering optimized user experience for data consumers across the US Commercial Organization. This role will innovate and create significant business impact through the strategic use of technology and information. This position will help create competitive advantages for Amgen with the ultimate aim to provide clean, usable, and reliable data to whomever may require it.

* Defining Semantic layer for end users * Ensuring rapid access to new and existing data assets * Researching opportunities for data acquisition and new uses for existing data * Overseeing end to end data integration and curation including building quality into the process * Creating prototypes and demonstrations to better access and utilize data assets * Employing a variety of languages and tools (e.g. scripting languages, big data tools) to marry disparate datasets * Leading cross-functional initiatives with stakeholders to ensure a superb user experience throughout the data integration process * Managing back-end data configuration * Creating data models and solutions architecture in collaboration with IS and external partners * Defining processes for managing access to data sets * Triaging issues and working with external partners as needed * Developing tools and training on data sets and access * Ensuring systems meet business requirements and industry best practices * Collaborating on definition and implementation of disaster recovery procedures * Recommending and implementing ways to improve data reliability, efficiency and quality * Collaborating with data architects, modelers and IT team members on project goals * Verbally presenting analysis ideas, progress and results to IS peers and business partners. * Answering questions, resolving problems, and building solutions. * Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets * Serving as an internal SME on commercial data and data quality management * Identifying, recommending and driving continuous improvement in database reporting and analysis processes

* Masters in Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research * Experience with databases including relational, NoSQL, and Graph * Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills. * Experience implementing initiatives end-to-end * Excellent organization/planning skills and talent for managing many large and complex datasets. * Ability to prototype data driven solutions to problems * Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end. * Ability to communicate analysis in a clear, precise, and actionable manner. **Basic Qualifications:** * Doctorate degree and 2 years of database management and/or information systems experience * Master’s degree and 4 years of database management and/or information systems experience * Bachelor’s degree and 6 years of database management and/or information systems experience * Associate’s degree and 10 years of database management and/or information systems experience * High school diploma/GED and 12 years of database management and/or information systems experience