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Merck

Makes medicines, vaccines and animal treatments

Executive Director - Data Management and Data Operations

Data ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in Information Technology, Engineering, Computer Science, Data Management, or a related field is required.
  • At least 15 years of progressive experience in data, digital, or technology leadership is required, 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 is required.
  • Experience leading enterprise data products, platforms, and services through strategy, design, implementation, adoption, sustainment, and value realization is required.
  • Strong knowledge of manufacturing-related master and reference data, Product Lifecycle Management, data platforms, and the needs of Manufacturing, Quality, and Supply Chain is required.
  • Experience with business domain applications such as MES, LIMS, Veeva Quality, Supply Planning, ERP, or PLM is required.
  • Experience leading a sizable, multidisciplinary organization, including organizational design, talent development, coaching, succession planning, and capability building is required.
  • Accountability for significant budgets, investment portfolios, financial planning, vendor performance, and total cost of ownership is required.
  • Ability to influence senior stakeholders, align organizations on complex technical and business decisions, resolve cross-functional dependencies, and drive accountability is required.
  • Experience leading enterprise transformation and adoption in a global, matrixed environment is required.
  • Experience with Agile and Scrum delivery models, product management, and product owner responsibilities is required.
  • Executive communication skills and the ability to translate complex data and technology topics into clear decisions, priorities, and business outcomes are required.
  • Required skills include business analysis, data science, demand management, innovation, requirements management, sourcing and procurement, stakeholder relationship management, and strategic planning.

Responsibilities

  • Define and execute the strategy, roadmap, investment priorities, operating model, and resource plan for master and reference data management across Manufacturing, Quality, and Supply Chain.
  • Own the product vision and lifecycle for Master Data Management (MDM), Product Lifecycle Management (PLM), data governance products, data quality capabilities, data operations, ontology management, and related integration services.
  • Translate organizational priorities and emerging digital opportunities into a coherent portfolio of products, platforms, services, and capabilities.
  • Establish and sustain a scalable data stewardship operating model with defined ownership, decision rights, standards, workflows, controls, and performance measures.
  • Lead the data quality function and establish preventive controls, monitoring, issue-management processes, and measurable quality standards.
  • Identify and resolve complex data management, ontology, and data quality challenges affecting business operations and digital strategy execution.
  • Deliver reliable, high-quality data services that reduce manual remediation and operational friction while providing a consistent, user-centered experience.
  • Establish metrics, reporting, and analytics to demonstrate data quality, service performance, adoption, compliance, and business impact.
  • Set direction for MDM platforms, PLM capabilities, data catalogs, integration services, automation, methods, and tools in alignment with business and enterprise technology strategies.
  • Apply AI-enabled capabilities to improve data quality monitoring, issue detection, root-cause analysis, remediation, and prevention in secure and regulated environments.
  • Define and maintain policies, standards, and guidelines that promote consistent adoption of data management methods, tools, and automation across user groups.
  • Build, lead, and develop a high-performing, global, multidisciplinary organization with the capabilities and capacity required to deliver the product line strategy.
  • Establish clear accountabilities across product teams and squads, coach and mentor leaders and team members, and develop succession and capability-building plans.
  • Lead organizational change and adoption to embed common data management practices, standards, and ways of working.
  • Build partnerships with business, digital, technology, and enterprise leaders to align priorities, resolve cross-functional dependencies, and drive adoption of common data management capabilities.
  • Own value realization and financial performance for the product line, including budget, investment planning, total cost of ownership, vendor and contract management, benefits tracking, and OKRs.
  • Establish and manage the resource model required to support master data management across divisional platforms and business processes.
  • Align systems development structures, platforms, methods, and tools with business strategy, regulatory expectations, and emerging digital opportunities.

Desired Qualifications

  • An MBA or master's degree in a relevant field is preferred.
  • Experience in global technology centers or geographically distributed delivery organizations is preferred.
  • Experience applying lean, agile, and people-centered design techniques to create inclusive technical and non-technical experiences and communications is preferred.
  • Experience in manufacturing, GxP, or other regulated environments is preferred.
  • Experience applying AI, advanced analytics, or automation to improve data quality, stewardship, metadata management, or data operations is preferred.
  • Experience evaluating and implementing generative or agentic AI capabilities within governed, secure, and regulated data environments is preferred.

About the Company

Merck

Makes medicines, vaccines and animal treatments

Merck develops prescription medicines, vaccines and veterinary treatments for patients, health systems and animal owners worldwide. Its vaccine portfolio includes Gardasil 9, which helps prevent cancers and other diseases caused by several types of human papillomavirus. The company takes potential treatments through laboratory research and clinical trials, then manufactures and sells approved products to drug distributors, hospitals, physicians and governments. Its animal health division sells medicines and vaccines to veterinarians, farmers and pet owners, while selected drug partnerships also earn shared profits or royalties. Founded in 1891, Merck is headquartered in Rahway, New Jersey.

Company size
10,001+
Company stage
IPO
Headquarters
Rahway, NJ
Founded
1891

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