Job Description

If you are a 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.jazzpharmaceuticals.com and follow @JazzPharma on Twitter.

Brief Description:

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 Enterprise Data Architect will be responsible for setting standards around data modeling, data integration and data engineering best practices and data security design. This is a highly collaborative role where the architect will provide standards and guidance to functional data architects and 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/Responsibilities

Creates 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, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company
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
Designs the structure and security for data systems, including databases, warehouses, and lakes
Defines data schemas, optimizing data storage, and establishing data access controls and security measures
Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards
Leads and participates in the peer review and quality assurance of project architectural artifacts across the data architecture functions
Defines and manages standards, guidelines, and processes to ensure the highest levels of data quality and data security
Evaluates and recommends emerging technologies for data management, storage, and analytics
Designs master data elements with a focus on interoperability across data assets to deliver transformative insights
Supports development and maintenance activities to ensure they are in line with the enterprise architecture — data models and roadmap defined there.
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
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 Abilities

7+ of relevant experience in design and implementation of data models for enterprise data warehouse / data lake initiatives
Experience leading projects involving data warehousing, data modeling, and data security
Experience working in highly collaborative cross-functional teams and delivering solutions through both waterfall and agile project delivery
Prior experience in highly regulated industry environment required, experience in pharmaceuticals, biotech industry 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

Highly Preferred Skills:

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 develop pragmatic, innovative approaches to meet complex data needs and maximize business value

Required/Preferred Education and Licenses

BS 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.

FOR US-BASED CANDIDATES ONLY

Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive.

For this role, the full and complete base pay range is $148,000-$222,000. Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis.

At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan.

The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: https://careers.jazzpharma.com/benefits