Data Management Manager

Amgen•Thousand Oaks, CA

4d•$112,635 - $139,340•Remote

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. 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.

Requirements

Master’s degree (or foreign equivalent) in Engineering Management, Data Science or related field and 2 years of experience in the job offered or in a Data Management – related occupation.
2 years of experience in Commercial data, analytics domain and knowledge of pharmaceutical data sets such as patient-level data sets, sales data sets XPO, DDD, chargebacks, other prescription and demand datasets and OneKey demographics data, claims datasets IQVIA, and Speaker Programs.
2 years of experience in Data engineering, data ingestion, data integration, prototyping, and reporting using SQL, Python, and Informatica for supporting product launches by onboarding and preparing datasets for analytics and reporting.
2 years of experience in Analyzing large-scale relational datasets Oracle, MySQL and PostgreSQL and perform data extraction and manipulation using data analysis tools and languages including Databricks and Redshift.
2 years of experience in Business Intelligence & Advanced Visualization through platforms including Tableau and Microsoft Power BI to develop interactive dashboards and generate strategic insights for pharmaceutical commercial sales, forecasting, or marketing teams.
2 years of experience in Robotic Process Automation & Workflow Automation, involving the evaluation or implementation of automation solutions UiPath, Blue Prism and SharePoint workflows to streamline manual data tasks and reduce errors in regulated healthcare settings.
2 years of experience in Regulatory requirements related to handling critical patient level data including Health Insurance Portability and Accountability Act, Health Information Technology for Economic and Clinical Health Act.
2 years of experience in Master Data Management (MDM), implementing and supporting MDM processes in the pharmaceutical industry including mastering prescribers, payers, products, and PBMs to serve as the foundational layer for commercial analytics use cases.

Responsibilities

Lead the US commercial Data Lake at Amgen as a business owner for two therapeutic areas (TAs), overseeing operations of the platform including data governance, data quality and hygiene, and administration of the platform to support data driven decision making.
Oversee onboarding and setting up new data sources and data sets for Analytics, Reporting, Incentive Compensation in support of existing brands as well as new product launches.
Product Owner for platform enhancement requests from cross functional stakeholders including Analytics teams, Data Sciences, Forecasting and Field Force Effectiveness, leading cross functional prioritization and end-to-end implementation of the deliverables.
Develop data services capabilities such as the integration of data from varied internal sources, data from external stakeholders and enable data science and artificial Intelligence/machine learning capabilities to provide insights and address business problems.
Develop analytics applications and collaborate with software engineers to develop data processing pipelines for datasets using AWS and Databricks technologies.
Use programming languages such as Python, R or SQL to build these pipelines.
Lead collaborative efforts with Data Architects, Business SMEs, and Data Scientists to innovate and optimize our data ecosystem, enhancing customer support and scaling our architecture for future growth, while exploring and piloting new tools and techniques.
Lead and implement new Data Platform capabilities by conducting proof-of-concept (POC) initiatives and technology evaluations to streamline processes, automate and optimize data pipelines to improve data quality & accelerate data availability.
Review use cases, requirements and technical designs to identify areas of risk and write technical specifications, flow charts and architectural diagrams for solutions.

Benefits

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus or for sales roles, other incentive compensation
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
flexible spending accounts
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, including remote and hybrid work arrangements, where possible