Data Architect, Regulatory Strategy

Johnson&Johnson Innovative Medicine is seeking an experienced Data Architect to support our Regulatory Strategy

portfolio of products. NJ/PA preferred but will consider remote contractors **available to work US East core business**

**hours.**

**Strong English and communication skills.**

***** Most likely needs to be a US-based resource**

Roles and Responsibilities:

- Partner with Regulatory subject matter experts, development partners product technical owners and engineers, J&J Technology Services and other architects to design scalable, extensible and supportable data architectures that drive business value in support of Regulatory Strategy and Intelligence 
- Develop data architecture artifacts in collaboration with key stakeholders using JJ standard tooling: Data Flow Diagrams, Entity Relationship Diagrams, Data Integration Artifacts, etc.
- Responsible for architecture alignment to Regulatory, R&D, J&J Innovative Medicine and J&J Enterprise data and data platform strategies, patterns and standards.
- Regularly engage with key business leaders and technical teams to create and maintain a data dictionary of master data elements, reference data elements, critical data elements and associated attributes, and non-critical elements and attributes.
- Develop and maintain conceptual, logical and physical data models associated with Regulatory Strategy solutions.
- Assist in development of a data governance framework that includes policies for the creation, maintenance and stewardship of master data, reference data and critical data elements.
- Identify data that will need to be integrated across Regulatory solutions and its authoritative source.
- Define master and reference data relationships
- Collaborate with business stakeholders to gather and translate their data needs into functional and technical specifications.
- Advocate for data-driven decision-making by providing insights and recommendations based on data analysis and architecture principles.
- Address and resolve conflicts arising from diverse business unit requirements, ensuring smooth integration of stakeholder needs
- Serve as a coach to business and IT product team partners to shape strategy through sharing expertise in data governance, data quality, and data integration practices.
- Proactively identify opportunities for leveraging data as an asset to enhance business capabilities and drive competitive advantage.

Education:

- BA/BS degree in a technical, engineering or scientific field
- AWS Data Engineer Certification (or Azure/GCP equivalent)
- Experience with Snowflake and Denodo preferred
- AWS Well-Architected Framework certification preferred
- AWS Certified Machine Learning Specialty certification preferred

Minimum English Level:

C1 Advanced