Enterprise Data Architect (Remote)

If you are a current Jazz employee please apply via the Internal Career site.Jazz Pharmaceuticals plc (NASDAQ: JAZZ) is a global biopharmaceutical company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines and novel product candidates, from early- to late-stage development, in neuroscience and oncology. We actively explore new options for patients including novel compounds, small molecules and biologics, and through cannabinoid science and innovative delivery technologies. Jazz is headquartered in Dublin, Ireland and has employees around the globe, serving patients in nearly 75 countries. For more information, please visit www.jazzpharma.com and follow @JazzPharma on Twitter.The

Enterprise Data Architect

is responsible for designing, creating, and managing Jazz's enterprise data architecture and data architecture standards. This role is critical in establishing a solid foundation for enterprise data at Jazz and ensuring that data is organized securely and consistently to enable interconnectivity across functional data assets. The data architect will be responsible for setting standards around data modeling, data integration, data engineering best practices, and data security design. This is a highly collaborative role where the architect will partner with the enterprise architecture function to deliver the optimal data solutions for Jazz. As the

Enterprise Data Architect , you will be a key member of the team driving data-driven thinking at Jazz and unlocking the value of enterprise data.Essential Functions/ResponsibilitiesDefines high-level data architecture strategy, creating guidelines for data architecture including acquisition, staging, storage, archival/retention, redundancy, and master data.Simplifies the existing data architecture across the enterprise, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company.Designs or oversees the design of the structure and security for data systems across Jazz, including database layers, data fabric, data warehouses, and lakes.Establishes data access controls and security measures.Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards.Leads design review and quality assurance of project data architecture artifacts.Defines and manages standards, guidelines, and processes to ensure the highest levels of data quality and data security.Leads team in ensuring best practice data architecture across the enterprise including functionally specific project needs.Evaluates and recommends emerging technologies for data management, storage, and analytics.Leads initiatives related to progressing Jazz's data architecture in support of data science and artificial intelligence initiatives.Designs master data elements with a focus on interoperability across data assets to deliver transformative insights.Ensures development and maintenance activities are in line with the enterprise architecture.Collaborates with the Enterprise Data Management team to maintain repositories for representing the data elements including the entities, relationships, and attributes, the information flows, and business glossary.Collaborates with Enterprise Data Strategy team peers including Governance Lead, Lead Data Scientist, and Enterprise Data Platforms as well as Information Services Peers including but not limited to IS Strategic Partners, Information Security, and the Enterprise Architect.Encourages a data citizenship mindset, ensuring we all collectively take responsibility and accountability for the data we create, consume, manage, and share.Summarizes and communicates the concepts of enterprise data and data architecture to stakeholders with various levels of comprehension.Required Knowledge, Skills, and Abilities10+ years of relevant experience in design and implementation of data models for enterprise data warehouse, data lake, and data science initiatives.Experience leading projects involving data warehousing, data modeling, and data security.Design experience in AWS Redshift, Informatica PowerCenter, and Power BI/Tableau.Experience leading a team of architects and engineers both as employees and consultants.Experience working in highly collaborative cross-functional teams and delivering solutions through both waterfall and agile project delivery.Prior experience working in a highly regulated industry required; experience in pharmaceuticals, biotech industry, or consulting preferred.Proficient in one or more programming languages such as Python, R, or SQL.Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS) and modern data warehouse tools (Snowflake, Databricks).Experience with data engineering tools such as Informatica PowerCenter/IICS and data modeling tools.Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques.Able to think strategically and relate architectural decisions and recommendations to business needs.Able to assess traditional and modern data architecture components and overall solution design based on business needs.Experience with business intelligence tools and technologies such as Power BI and Tableau.Passionate about promoting a data-driven culture while operating with the highest integrity and ensuring responsible and ethical data usage.Has a 'service' mentality, recognizing and promoting the enabling value that data can provide to the business.Able to regularly learn and adopt new technology, especially in the ML/AI realm.Strong analytical and problem-solving skills with a positive 'can do' approach to solutioning.Strong communication skills with the ability to synthesize and clearly communicate large volumes of complex information to senior management.Strong collaborator in complex, cross-functional teams involving data scientists, business analysts, and stakeholders.Committed to forming trusting, collaborative, and strategic partnerships with internal stakeholders and developing pragmatic, innovative approaches to meet complex data needs and maximize business value.Required/Preferred Education and LicensesA bachelor's degree in computer science, data science, engineering, or related field.Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law.

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