VetJobs
Data Management Manager - Thousand Oaks, CA
VetJobs, Thousand Oaks, California, United States, 91362
Overview
Data Management Manager – Thousand Oaks, CA Location: Thousand Oaks, California. This on-site role involves leading the US commercial Data Platform for two therapeutic areas, overseeing data governance, data quality, data ingestion, and data platform administration to support data-driven decision making. May telecommute for certain activities as determined by the company. Responsibilities
Lead the US commercial Data Platform as a business owner for two therapeutic areas, overseeing data governance, data quality, data hygiene, and platform administration to support data-driven decision making. Oversee onboarding and setup of new data sources and datasets for Analytics, reporting, Incentive Compensation, and support for existing brands and new product launches. Develop data services capabilities by integrating data from varied internal sources and external stakeholders; enable data science and AI/ML capabilities to provide insights and address business problems. Develop analytics applications and collaborate with software engineers to create data processing pipelines for large datasets using AWS and Databricks; utilize Python, SQL, PySpark to implement business rules. Act as Product Owner for platform enhancement requests from cross-functional stakeholders (Analytics, Data Science, Forecasting, Field Force Effectiveness); lead prioritization and end-to-end implementation. Collaborate with engineering to architect data products and ensure services are secure, reliable, maintainable, and well-integrated with existing platforms. Lead collaboration with Data Architects, Business SMEs, and Data Scientists to optimize the data ecosystem and scale architecture for future growth; pilot new tools and techniques. Review use cases, requirements, and technical designs; write technical specifications, flowcharts, and architectural diagrams for solutions. Lead new capabilities of the Data Platforms, including cross-domain initiatives across pharma (e.g., Medical, commercial, compliance). Qualifications
Minimum Education Required: High School/GED. Additional Qualifications/Responsibilities (Requirements): Master’s degree (or foreign equivalent) in Applied Data Science, Mathematics or related field & 3 years of relevant experience, including: Commercial data and analytics domain, knowledge of pharmaceutical data sets (patient-level data, sales data, claims data, Field activity, Speaker Programs). Experience implementing projects using Agile Methodology. Data Engineering, Data Ingestion, Data Integration, Prototyping and Reporting using SQL, Python, Tableau, and Qlikview. Experience analyzing large-scale relational databases and extracting/manipulating data using SQL, Tableau, R, Python, Excel, Jupyter Notebook, VS-Code. Experience implementing AI/ML libraries and building predictive models using pandas, numpy, scikit-learn, PyTorch, XGBoost, Matplotlib, statsmodels. Leveraging big data management platforms to integrate diverse datasets within life sciences to enable insights for sales/marketing and customer engagement analytics. Data modeling, architecture and solution design, performance tuning and optimization. Contact: Interested candidates please apply via https://careers.amgen.com/en/search-jobs and search for job # R-223004. Job type: Full Time. Salary range in the U.S. is $121,680.00 - $143,771.58 per year. Benefits include stock, retirement, medical, life and disability insurance and eligibility for an annual bonus or other incentive compensation for sales roles. Location
Thousand Oaks, California
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Data Management Manager – Thousand Oaks, CA Location: Thousand Oaks, California. This on-site role involves leading the US commercial Data Platform for two therapeutic areas, overseeing data governance, data quality, data ingestion, and data platform administration to support data-driven decision making. May telecommute for certain activities as determined by the company. Responsibilities
Lead the US commercial Data Platform as a business owner for two therapeutic areas, overseeing data governance, data quality, data hygiene, and platform administration to support data-driven decision making. Oversee onboarding and setup of new data sources and datasets for Analytics, reporting, Incentive Compensation, and support for existing brands and new product launches. Develop data services capabilities by integrating data from varied internal sources and external stakeholders; enable data science and AI/ML capabilities to provide insights and address business problems. Develop analytics applications and collaborate with software engineers to create data processing pipelines for large datasets using AWS and Databricks; utilize Python, SQL, PySpark to implement business rules. Act as Product Owner for platform enhancement requests from cross-functional stakeholders (Analytics, Data Science, Forecasting, Field Force Effectiveness); lead prioritization and end-to-end implementation. Collaborate with engineering to architect data products and ensure services are secure, reliable, maintainable, and well-integrated with existing platforms. Lead collaboration with Data Architects, Business SMEs, and Data Scientists to optimize the data ecosystem and scale architecture for future growth; pilot new tools and techniques. Review use cases, requirements, and technical designs; write technical specifications, flowcharts, and architectural diagrams for solutions. Lead new capabilities of the Data Platforms, including cross-domain initiatives across pharma (e.g., Medical, commercial, compliance). Qualifications
Minimum Education Required: High School/GED. Additional Qualifications/Responsibilities (Requirements): Master’s degree (or foreign equivalent) in Applied Data Science, Mathematics or related field & 3 years of relevant experience, including: Commercial data and analytics domain, knowledge of pharmaceutical data sets (patient-level data, sales data, claims data, Field activity, Speaker Programs). Experience implementing projects using Agile Methodology. Data Engineering, Data Ingestion, Data Integration, Prototyping and Reporting using SQL, Python, Tableau, and Qlikview. Experience analyzing large-scale relational databases and extracting/manipulating data using SQL, Tableau, R, Python, Excel, Jupyter Notebook, VS-Code. Experience implementing AI/ML libraries and building predictive models using pandas, numpy, scikit-learn, PyTorch, XGBoost, Matplotlib, statsmodels. Leveraging big data management platforms to integrate diverse datasets within life sciences to enable insights for sales/marketing and customer engagement analytics. Data modeling, architecture and solution design, performance tuning and optimization. Contact: Interested candidates please apply via https://careers.amgen.com/en/search-jobs and search for job # R-223004. Job type: Full Time. Salary range in the U.S. is $121,680.00 - $143,771.58 per year. Benefits include stock, retirement, medical, life and disability insurance and eligibility for an annual bonus or other incentive compensation for sales roles. Location
Thousand Oaks, California
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