Bristol-Myers Squibb - Devens, MA

posted about 1 month ago

Full-time - Senior
Devens, MA
Chemical Manufacturing

About the position

Working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. As a Senior Manager in Data Architecture within the Global Product Development & Supply team, you will play a critical role in enabling a data-driven culture and fully harnessing the power of data. Your focus will be on business processes supporting the Manufacturing data landscape, while also gaining visibility into related functional areas such as Global Supply Chain, Manufacturing Quality, and Product Development. In this role, you will be accountable for driving information and data architecture decisions for digital capabilities that are critical for pharmaceutical manufacturing. You will understand the landscape of data needs as a key link between business processes and information systems, creating and maintaining architectural artifacts, including data models and information blueprints. As a key member of project delivery teams, you will support the needs of the project while applying an enterprise mindset to developing data flow diagrams and data models. You will partner with IT Business Partners, Data Partners for insights and analytics, and a broader community of Information/Data architects across the enterprise to develop and sustain the BMS data strategy and target data architecture. Your responsibilities will include driving the evolution of BMS Information architecture, adhering to information and data architecture principles, guidelines, and standards in partnership with the broader data architecture community. You will also drive decisions on appropriate information and data integration architecture patterns, ensuring that the target information and data architecture is understood and implemented by the relevant build teams and partners.

Responsibilities

  • Develop and maintain Information & Data architecture documentation
  • Develop and sustain target information architecture and roadmap(s)
  • Develop and maintain Conceptual and Logical data models
  • Document data lineage for cross-capability data exchange and transformation
  • Develop and maintain information flow and data interchange requirements
  • Drive data architecture decisions on data, analytic and reporting initiatives
  • Ensure that the target information and data architecture is understood and implemented by the relevant build team(s) and partner(s)
  • Understand and evaluate current and emerging data, analytic and reporting technology trends
  • Develop sustainable, reusable design patterns and best practices that can be leveraged by the enterprise
  • Develop taxonomies which conform BMS internal nomenclature to industry standards
  • Partner and collaborate with capability teams as well as enterprise platform teams
  • Architect scalable enterprise data lake and analytics solutions using AWS managed services that support the diverse data requirements
  • Design extensible data solutions that integrate seamlessly with the broader enterprise data lake ecosystem
  • Architect data services and products, leveraging master and reference data
  • Develop conceptual architectures that effectively utilize these data assets to build scalable and valuable solutions
  • Support continuous evolution of Master and Reference Data Management capabilities
  • Support continuous evolution of metadata management capabilities

Requirements

  • Minimum 7-8 years of experience with Information Technology and Information Management systems, designing, implementing, and/or supporting analytic platforms (data warehouse, data hub, ETL/transformations, and/or Business Intelligence) related activities satisfying complex information needs within the life sciences industry
  • Knowledge of the principles of data architecture and experience of Data Modeling, application of Data Modeling concepts and techniques
  • Hands-on expertise in AWS technologies and Python
  • Broad technology expertise, working knowledge of life sciences manufacturing business processes, with demonstrated command of key concepts, systems, and processes
  • Practical knowledge of emerging concepts: Industry 4.0 and Smart Manufacturing
  • Experience with Big Data, Master Data Management (MDM), Data Visualization, and/or Data Virtualization for both structured and/or unstructured data
  • Experience in working in geographically dispersed teams and virtual collaboration

Nice-to-haves

  • Experience with cloud-based data solutions
  • Familiarity with Agile methodologies
  • Knowledge of regulatory requirements in the pharmaceutical industry

Benefits

  • Competitive salary
  • Comprehensive health insurance
  • 401(k) retirement plan
  • Flexible work hours
  • Paid time off
  • Tuition reimbursement
  • Employee wellness programs
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