4 дня назад
Senior Director, PGS and Enterprise Solutions Data Strategy & Architecture Lead (AI)
214 900 - 358 100$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Director, PGS and Enterprise Solutions Data Strategy & Architecture Lead (AI): Defining the target-state technical data architecture, canonical data model, governance standards, and trusted data products for pharmaceutical manufacturing, quality, and supply chain with an accent on AI readiness, data integrity, and regulated GxP environments. Focus on leading enterprise architecture standards, building technical stewardship capabilities, and aligning data platforms, schemas, and domain ontologies across federated solution teams.
Location: United States - Pennsylvania - Collegeville; hybrid work location assignment. Permanent U.S. work authorization is required. Relocation assistance may be available based on eligibility.
Annual base salary: $214,900–$358,100, plus a 22.5% bonus target and eligibility for a share-based long-term incentive program.
Company
develops medicines and operates global manufacturing, quality, supply chain, data, analytics, and AI capabilities.
What you will do
- Define and own the target-state technical data architecture and multi-year roadmap for Global Supply and Enterprise Solutions.
- Own the canonical data model and domain ontologies using open standards including ISA-95 and ISA-88.
- Define data contracts, schema standards, trusted data product criteria, and data and integration governance.
- Lead architecture reviews, build-versus-conform decisions, and standards sign-off across federated solution teams and domain builders.
- Build and lead a team of architects and technical data stewards paired with business data owners.
- Establish GxP data governance, data integrity by design, and readiness for emerging AI and data regulations.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Management, or a related field, with 12+ years of experience in data architecture, data management, or data engineering.
- 7+ years of experience leading teams and setting standards at enterprise scale.
- Experience owning enterprise data architecture, data models, and data standards in a large federated organization.
- Applied knowledge of AI technologies and the requirements for AI-ready data.
- Experience with digital manufacturing, quality, supply chain, SAP ERP concepts, and regulated GxP or comparable environments.
- Permanent U.S. work authorization is required; U.S. work visa sponsorship is not available.
Nice to have
- Advanced degree in a relevant field.
- Pharmaceutical manufacturing, quality, or supply chain domain knowledge.
- Working knowledge of ISA-95, ISA-88, data product operating models, and data contracts.
- TOGAF, DAMA CDMP, or comparable architecture and data management credentials.
- Experience with paired business and technical ownership or stewardship models.
Culture & Benefits
- Hybrid work arrangement with occasional travel of less than 10%.
- Occasional after-hours or weekend work may be required for global meetings or major incident support.
- Participation in ’s Global Performance Plan with a 22.5% bonus target.
- Eligibility for a share-based long-term incentive program.
- Benefits include 401(k) matching and retirement contributions, paid vacation and holidays, caregiver and medical leave, and medical, prescription, dental, and vision coverage.
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