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Director - Enterprise Data Strategy, Reporting & Analytics

Job in Perrysburg, Wood County, Ohio, 43552, USA
Listing for: O-I
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Company Description To be the leading producer of glass bottles and jars worldwide you need passion, commitment and innovation baked into the very fabric of a business and its people. For more than 120 years, our glass makers have honed their craft—channeling their creativity into more than 1,800 patents held today. When you join O-I you become part of that story.

O-I has more than a century of experience crafting pure, sustainable, brand‑building glass packaging for many of the world’s best‑known food and beverage brands. We are proud to provide high quality glass packaging for beer, wine, spirits, food, non‑alcoholic beverages, cosmetics and pharmaceuticals. We are dedicated to make what matters to shape a healthier, more sustainable and more exciting world. We transform the industry to make glass more relevant and more accessible to more people.

Job Description

The Enterprise Data Strategy, Reporting, & Analytics Director is responsible for defining and executing the enterprise‑wide strategy for Data Management, Reporting & Analytics. This role will lead a Hub organization that enables O‑I to leverage data as a strategic asset to drive business insights, operational efficiency and competitive advantage. This role is accountable for establishing a robust governance framework, ensuring data quality and accessibility, and delivering actionable insights through reporting and advanced analytics.

This role will partner closely with key business stakeholders, aligning data initiatives with organizational goals, leveraging enabling technologies to provide scalable, reliable, compliant, and accessible data supporting O‑I’s decision‑making process.

Key Responsibilities Strategy
  • Define the vision and lead the data, reporting and analytics function by setting the strategy, establishing objectives, and managing talent to deliver a best‑in‑class performance framework that drives data visibility, allows for informed decision‑making, and instills compliance through robust governance.
  • Establish and drive adoption of a centralized data governance framework, including policies for data quality, integrity, definitions, monitoring, and compliance.
  • Drive enterprise‑wide initiatives to improve data and analytics literacy at all levels of the organization.
  • Drive internal and external data sourcing strategies, ensuring timely, accurate, and relevant data availability, automating to maximize efficiency.
  • Partner with IT to develop a robust technology strategy and roadmap supporting business decisions related to technology.
  • Champion enterprise‑wide data integration initiatives, enabling a single source of truth for critical business data.
  • Partner with key business stakeholders including Country Group Operations, Centers of Excellence (COE), IT, Supply Chain, Finance, Procurement, and other business units to align data initiatives with organizational priorities.
  • Partner with external service providers to ensure compliance with policies and standards defined by the Hub.
  • Oversee Enterprise Master Data Management and metadata standards.
Operational Excellence
  • Develop and enable automation for data processing ensuring accuracy and compliance.
  • Establish and maintain a comprehensive data catalog with appropriate definitions and ownership, driving consistency and transparency across the organization.
  • Drive initiatives for data quality improvement including increasing standardization, master data management, and efficiency in the tools and solutions used to deliver the organization’s data insights.
  • Partner with the Global IT organization to design and maintain enterprise data architecture, developing and automating scalable data pipelines to ensure efficient data flow and processing across the organization.
  • Develop standards to ensure that data sourced from internal systems and external providers comply with accuracy, completeness, and timeliness requirements.
  • Design and implement standardized, harmonized data models to support consistent reporting and actionable analytics for decision‑making.
  • Lead the design and delivery of standardized reporting solutions for executive leadership and operational teams.
  • Ensure dashboards and self‑service…
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