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Director Information Architecture Data Analytics & Computational Sciences Zug / Ringaskiddy / Leiden Save Saved

Director Information Architecture Data Analytics & Computational Sciences Zug / Ringaskiddy / Leiden Save Saved

Director Information Architecture Data Analytics & Computational Sciences Zug / Ringaskiddy / Leiden Save Saved

Director Information Architecture Data Analytics & Computational Sciences Zug / Ringaskiddy / Leiden Save Saved

JOHNSON & JOHNSON

Pharma, Medizintechnik

Zug

  • Art der Anstellung: Vollzeit
  • Vor Ort
  • Zu den Ersten gehören

Director Information Architecture Data Analytics & Computational Sciences Zug / Ringaskiddy / Leiden Save Saved

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Leiden, South Holland, Netherlands, Ringaskiddy, Cork, Ireland, Zug, Switzerland

Job Description:

Johnson & Johnson is recruiting for a Director Information Architecture located in either Titusville, NJ; Raritan, NJ; Zug, CH; Schaffhausen, CH; Leiden, NL; Cork.

As we are building our Data Strategy and Operations organization as part of our Value Chain Management organization in the Innovative Medicine Supply Chain, we are creating this role as part of our Data Strategy and Operations Leadership Team. The Director Information Architecture leads and is responsible for the information architecture team supporting the supply chain functions.

You will be responsible for leading the design and implementation of information architecture for the Innovative Medicine Supply Chain. You will develop strategies to minimize duplication of information and increase clarity on source of truth across different supply chain functions and systems. Your focus will be end-to-end and span from system specific master data (including supporting workflow capabilities), transactional data and data for analytics and AI. You will collaborate with the functional partners in the supply chain and the J&J Technology partners to design and implement scalable data models that increase value for the business partners.

Key Responsibilities:

  • Design and implement information architecture for Innovative Medicine Supply Chain across Master Data, Transactional data and Data for Analytics

  • Develop and implement data platforms and frameworks to maximize re-use and minimize duplication of information across a federated ecosystem

  • Design and implement FAIR and trusted data products to increase business outcomes with functional partners and technology partners in JJT.

  • As a business leader you will have business ownership across the technology stack supporting data solutions and are tasked to evolve the technology stack together with the J&J Technology technical partners to support future AI applications.

  • As a business leader be responsible for the full lifecycle of data platforms in collaboration with the technology leaders to optimize the data solutions landscape, reduce complexity and ensure interoperability.

  • As a business leader shape the future state technology stack that maximizes value from data, enables AI applications and provides interoperability with other Innovative Medicine Functions (e.g. R&D, Commercial)

  • Collaborate with IMSC Data Governance to design data governance capabilities across Master data, transactional data and Data for Analytics and Data Standards are developed to support the Information Architecture Design

  • As part of the Data Strategy and Operations Leadership team shape the Data Strategy of IMSC

Qualifications

Education:

  • Master’s degree in Engineering, Business, Technology, Computer Science or with a focus on data management/ data science / Analytics / AI / Machine Learning, or equivalent

Experience and Skills:

Required:

  • 10+years of experience of leading multi-year strategy or technology deployment with focus on information management, data management or data capabilities

  • 5+Experience working in a pharmaceutical global supply chain spanning across multiple functions (plan, source, make, deliver and quality)

  • Experience with modern data technologies (Workflow capabilities for Master data, Data catalogues, Lakehouse, Ontology management)

  • Knowledge of compliance standards (e.g. GxP, GDPR, HIPAA)

  • Proven track record to build partnerships to inspire change and deliver results across complex ecosystems.

  • Consistent track record of creating and sustaining data capabilities that achieve success and impact.

  • Good communication skills and ability to simplify sophisticated technical topics for broad audiences across levels.

  • Energetic, passionate, accountable, keen on continuous learning.

Preferred:

  • Good knowledge of industry standards related to data management (FAIR, IDMP, ISO etc.)

  • Experience working in healthcare

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