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17 часов назад

Executive Director, Data Management and Data Operations (Master Data Management)

255 800 - 402 700$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Executive Director, Data Management and Data Operations (Master Data Management): Leading the strategy, products, platforms, and operations for master and reference data across Manufacturing, Quality, and Supply Chain with an accent on data governance, stewardship, data quality, ontology management, and compliant digital enablement. Focus on building a global multidisciplinary organization, applying AI to regulated data operations, and driving enterprise transformation, adoption, financial accountability, and measurable business value.

Location: Hybrid; primary location in West Point, Pennsylvania, USA. Available to residents of the United States, Canada, and Puerto Rico.

Salary: $255,800–$402,700 annually for the primary location; annual bonus and long-term incentive may also apply.

Company

hirify.global is a global biopharmaceutical company developing medicines and healthcare solutions through regulated manufacturing, quality, supply chain, and digital operations.

What you will do

  • Define the strategy, roadmap, investment priorities, operating model, and resource plan for master and reference data across Manufacturing, Quality, and Supply Chain.
  • Own the lifecycle of MDM, PLM, data governance, data quality, data operations, ontology management, and integration services.
  • Establish data stewardship, ownership, decision rights, standards, workflows, controls, quality monitoring, issue management, and performance metrics.
  • Set direction for MDM platforms, PLM capabilities, data catalogs, integration services, automation, methods, and tools.
  • Apply AI-enabled capabilities to data quality monitoring, issue detection, root-cause analysis, remediation, and prevention in secure, regulated environments.
  • Build and lead a global multidisciplinary organization while managing stakeholder partnerships, budgets, investments, vendors, total cost of ownership, OKRs, and value realization.

Requirements

  • Bachelor’s degree in Information Technology, Engineering, Computer Science, Data Management, or a related field.
  • 15+ years of progressive data, digital, or technology leadership experience, including significant experience in biopharmaceutical, life sciences, manufacturing, or another highly regulated industry.
  • Deep expertise in master and reference data management, data stewardship, data governance, data quality, ontology management, or related enterprise data capabilities.
  • Experience leading enterprise data products, platforms, and services through strategy, design, implementation, adoption, sustainment, and value realization.
  • Strong knowledge of manufacturing master and reference data, PLM, data platforms, and Manufacturing, Quality, and Supply Chain requirements.
  • Experience with MES, LIMS, Veeva Quality, Supply Planning, ERP, PLM, or similar business domain applications.
  • Experience leading sizable multidisciplinary organizations, including organizational design, talent development, coaching, succession planning, and capability building.
  • Accountability for significant budgets, investment portfolios, financial planning, vendor performance, and total cost of ownership.
  • Ability to influence senior stakeholders, resolve cross-functional dependencies, lead enterprise transformation in a global matrixed environment, and drive accountability.
  • Experience with Agile and Scrum delivery models, product management, product owner responsibilities, executive communication, strategic planning, business analysis, requirements management, sourcing and procurement, and stakeholder relationship management.
  • Growth mindset with a record of challenging the status quo, introducing innovative approaches, and delivering measurable improvements.

Nice to have

  • MBA or master’s degree in a relevant field.
  • Experience in global technology centers or geographically distributed delivery organizations.
  • Experience applying lean, agile, and people-centered design techniques.
  • Experience in manufacturing, GxP, or other regulated environments.
  • Experience applying AI, advanced analytics, or automation to data quality, stewardship, metadata management, or data operations.
  • Experience evaluating and implementing generative or agentic AI in governed, secure, regulated data environments.

Culture & Benefits

  • Hybrid work arrangement with a regular employee status.
  • Benefits include medical, dental, vision, insurance, retirement benefits including 401(k), paid holidays, vacation, and compassionate and sick days.
  • Inclusive environment that values diverse perspectives, respectful challenge, collective problem-solving, and innovation.
  • Role involves leading a global organization and collaborating across business, digital, technology, and enterprise stakeholders.

Hiring process

  • Applications are accepted through the hirify.global careers site; current employees and contingent workers use the specified internal application routes.
  • Accommodation support is available for US and Puerto Rico residents who need assistance during the hiring process.

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