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Senior Director, Enterprise Data Strategy

Job in Crystal Lake, McHenry County, Illinois, 60012, USA
Listing for: Aptar
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Join our team and Be You Be Aptar.

Senior Director, Enterprise Data Strategy

Reports to:
Chief Digital Officer

Location:
Work remotely /Crystal Lake, IL preferred

Europe (UK, Germany, France, Italy, France, Czech Republic)

The Senior Director, Enterprise Data Strategy and Execution is responsible for establishing the vision (defined with the Excom), strategic priorities and execution of a comprehensive data strategy [and analytics initiatives] across the organization, ensuring data is effectively managed, governed, and leveraged to inform critical business decisions. This role collaborates closely with our segments and corporate functions to align data initiatives with overall business objectives and drive strategic value from data assets.

The senior Director will drive data solutions that support business growth, enhance operational efficiency, and foster a data-driven culture across the enterprise.

[This role will also play a critical role to identify and champion planning and advancement for innovative data technologies and solutions, such as artificial intelligence (AI), machine learning (ML), predictive analysis, etc. to enhance the organization’s data capabilities, working in conjunction with IS].

This role will also need to identify a network of Data Representatives within each segment and function (in a distributed model) to ensure widespread and scalable implementation of the strategy.

As a Senior Director, EDS, you will:

Data Strategy and Execution

  • Lead the creation and execution of the enterprise-wide data strategy and global data governance initiatives including Data Documentation, Data Quality, Data Access Control, Data Integration and Interoperability, Data Change Management, and Master Data Management, all to directly support organizational priorities. Incorporates global third-party data into the strategy, including competitive intelligence, market scanning, and other external data insights.
  • Drive the vision and roadmap for leveraging data to create value and drive digital transformation across the organization.
  • Establish and/or maintain the Enterprise Data frameworks and policies to ensure data governance, integrity, privacy, security, and compliance.
  • Oversee the design and implementation of scalable and secure data architecture that supports business intelligence, analytics, and advanced data science initiatives (in collaboration with IS).
  • Champion data quality initiatives to ensure the accuracy, consistency, and timeliness of data used across the organization.
  • Promote the use of data visualizations, statistical modeling and advanced analytics to generate actionable insights that drive business performance and strategic decisions.
  • Partner closely with Enterprise Architecture on activities related to data strategy, design, architecture and solutioning.
  • Create and manage an Aptar Data Encyclopedia, detailing all data used by segments and departments, including how it is created and managed.
  • Continuously monitor the creation of new data and ensure its harmonization (in conjunction with Data Representatives)
  • Create robust processes to centrally manage Master Data across all Aptar IT platforms.
  • Drive Data Democratization by establishing a governanceumaan model focused on report reuse and lifecycle management.

Business Partnering and Matrixed Relationships

  • Establish and maintain effective relationships with cross functional leaders and collaborate to ensure alignment of data strategy with localized initiatives and ensure adherence to enterprise data and architecture principles/policies.
  • Work with IS to integrate data governance, data management practices, and technological solutions, ensuring a unified approach to data utilization.
  • Partner with business units to identify key data opportunities, ensuring data is used to solve complex business challenges.
  • Identify, collaborate, and champion innovative petits technologies and solutions, such as artificial intelligence (AI), machine learning (ML), predictive analysis, big data, and cloud computing, to enhance the organization’s data capabilities.
  • Executive Level Reporting:
    Provide regular updates to senior leadership on stakeholder engagement activities,…
Position Requirements
10+ Years work experience
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