Senior Manager, Data Architect, Global Drug Development

Key Skills

Aartificial intelligence, Amazon Simple Storage Service (S3), Big Data Technology, Data Architecture, Data management, Data Modeling, Data science techniques, Data Visualization, Effective communication skills, Leadership Skill, Machine learning techniques

Job Description

Summary:

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 GDD Data & Analytics team the incumbent will gain visibility into business processes by supporting data landscapes for multiple functional areas such as (but not limited to) Global Clinical Development, R&D Portfolio Operations, Global Regulatory Sciences, Global Biometrics and Data Sciences, Worldwide Patient Safety etc.

Accountable for driving information and data architecture decisions for digital capabilities, 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 for developing data flow diagrams and data models.  Partners with GDD IT Product Owner/Business Partner(s), Business Unit stakeholders, Data Partners, and broader community of Information/Data architects across the enterprise, to develop and sustain the GDD data strategy and target data architecture. Drives 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.

Key Responsibilities:

• Develop and maintain 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
• Support continuous evolution of Master and Reference Data Management capabilities
• Support continuous evolution of metadata management capabilities

Qualifications & Experience:

• Minimum of 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.
• Must have broad technology expertise, strong working knowledge of Pharmaceutical R&D business processes, with demonstrated command of key concepts, systems, and processes

• Thorough knowledge of the principles and concepts of data architecture
• Experience with Big Data, Master Data Management (MDM), Data Visualization, and/or Data Virtualization for both structured and/or unstructured data.
• Knowledge of and experience of Data Modeling, application of Data Modeling concepts and techniques
• Knowledge of and experience of master and reference data management concepts and capabilities
• Experience deploying Analytic Platforms in a Cloud and On-Premises environment
• Experience implementing Clinical Development IT and technology solutions
• Experience working with international clients with a globally dispersed team
• 5+ years as a Data Architect role in Healthcare or Life Sciences is a plus
• Prior experience in working with global life sciences discovery or clinical data is a plus
• Knowledge of Global Drug Development functions (Clinical development, Biometrics & Data Science, Regulatory, Patient Safety) is a plus

Desired Candidate Characteristics:

• Must possess excellent written and verbal skills and demonstrate an ability to effectively communicate at all levels of the organization including executive stakeholders 
• Must be a relationship builder and capable of working effectively in a highly matrix organization with strong leadership, communication, planning, and collaboration skills
• Have a strong commitment to a career in technology with a passion for healthcare 
• Ability to improve processes, structures, and knowledge within the team. Leads in analyzing current states, delivers strong recommendations, and able to execute to bring moderately complex solutions to completion.​
• Ability to understand the needs of the business and commitment to deliver the best user experience and adoption 
• Innovative and inquisitive nature to ask questions, offer bold ideas and challenge the status quo 
• Agility to learn new tools and processes 

Education:

• Bachelor's degree in Computer Science, Information Systems, Computer Engineering or Life Sciences (or other quantitative related discipline) preferred
• Graduate degree is a plus