Senior Manager, Data Architecture, Manufacturing, Global Product Development & Supply

Working with Us

Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But 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.

You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more:

Optional BMS work sites in either Devens, MA or New Brunswick, NJ

The Information and Data Architecture discipline has a critical importance for Bristol Myers Squibb to enable a data-driven culture and fully harness the power of data. Data architecture enables cross-functional information exchange, system integrations, analytic capabilities, and creates the foundation for AI & ML capabilities.

As part of the GPS Data & Analytic Enablement team the incumbent will focus on business processes supporting Manufacturing data landscape as well as gain visibility into related functional areas such as (but not limited to) Global Supply Chain, Manufacturing Quality, Product Development, etc.

As part of BMS Digital Transformation, accountable for driving information and data architecture decisions for digital capabilities that are critical for pharmaceutical manufacturing, understanding 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. Act as key member of project delivery teams supporting the needs of the project while applying an enterprise mindset to developing data flow diagrams and data models.

Partner with IT Business Partners, Data Partners for insights and analytics, and broader community of Information/Data architects across the enterprise to develop and sustain the BMS data strategy and target data architecture. Partner with IT system owners to support implementation efforts in alignment with target data architecture.

Drive the evolution of BMS Information architecture, adhering to information and data architecture principles, guidelines, and standards in partnership with broader data architecture community. Drives decisions on appropriate information and data integration architecture patterns.

Position 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

Skill Requirement:

* 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

* Must have broad technology expertise, working knowledge of life sciences manufacturing business processes, with demonstrated command of key concepts, systems, and processes

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