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Data Management Manager

$112.64k - $139.34k

BioSpace, Inc.

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 patients by researching, manufacturing, and delivering innovative medicines. Our award‑winning culture is collaborative, innovative and science‑based. If you have a passion for challenges and the opportunities they lay within, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Management Manager 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. May telecommute. Responsibilities Lead the US commercial Data Lake for two therapeutic areas, overseeing data governance, quality, and platform administration. Own onboarding of new data sources and sets for analytics and reporting. Serve as Product Owner for platform enhancements, prioritizing stakeholder requests. Create data service capabilities and data pipelines using AWS, Databricks, Python, R, and SQL. Collaborate with Data Architects, SMEs, and scientists to optimize the data ecosystem. Conduct POCs and technology evaluations. Draft technical specifications, flow charts, and architectural diagrams. Telecommute may be allowed. Qualifications Master's degree (or foreign equivalent) in Engineering Management, Data Science, or related field and 2 years of experience in Data Management. 2 years of experience in commercial data and analytics, including patient‑level data sets, sales data sets XPO, DDD, chargebacks, demand datasets, OneKey demographics, claims datasets IQVIA, and Speaker Programs. Experience in data engineering, ingestion, integration, prototyping, and reporting using SQL, Python, and Informatica for product launches. Ability to analyze large‑scale relational datasets in Oracle, MySQL, and PostgreSQL using Databricks and Redshift. Proficiency in business intelligence and advanced visualization platforms including Tableau and Microsoft Power BI. Experience with robotic process automation (UiPath, Blue Prism) and workflow automation (SharePoint) to streamline manual data tasks. Knowledge of regulatory requirements related to handling critical patient‑level data, including HIPAA and HITECH. Experience with Master Data Management (MDM) processes in the pharmaceutical industry. 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, including remote and hybrid work arrangements, where possible. Contact: Interested candidates please apply via for job#R-243905. Job type: Full Time. Salary range: $112,635.00 - $139,340.00 per year. Amgen offers stock, retirement, medical, life and disability insurance and eligibility for an annual bonus or incentive compensation. Amgen is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status or any other basis protected by applicable law. Individuals with disabilities will be provided reasonable accommodation to participate in the job application or interview process. #J-18808-Ljbffr

Vacancy posted 7 hours ago
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