Data Steward, II

Remote Work:
Hybrid Overview:

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.

Being a part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.

You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about – locally and globally.

Come make an impact every day at Zebra.

With ever-increasing demands for high-quality, reliable data to generate timely and effective business insights and data-driven decision-making, effective data stewardship is critical to success. The Zebra Data Steward is responsible for ensuring that data used by the organization is available when needed, well-defined, properly cataloged, scrupulously maintained, and continuously analyzed for trusted usability in business and customer-impacting analytics. The data steward is the ultimate custodian of data and plays a pivotal role in building trust in the data used for strategic and operational purposes, ensuring it meets the highest standards of integrity.

This role operates at the intersection between operational processes and data management, acting as the trusted authority in both operational data needs and in data governance best practices, including data quality assessment & assurance, metadata management, and data policy administration & oversight. Additionally, the advanced data steward is responsible for identifying, prioritizing and directly or indirectly executing data cleansing initiatives that rapidly remediate data deficiencies.

This is a hybrid role 3 days onsite in Lincolnshire, IL

• Provide authoritative business data stewardship over internal and external data, ensuring effective data management and alignment with overall business objectives.
• Collaborate with operational teams to identify and document current and future data requirements and data use case scenarios.
• Define and document data policies that establish standards and expectations for internal and external data, including descriptions, formats, structures, parameters, acquisition frequency & modality, etc.
• Implement measures to safeguard data integrity and establish protocols for data validation and auditing; inspect and analyze existing and incoming data to identify disparities.
• Identify root causes of data disparities; lead initiatives to improve data quality, accuracy, completeness, and timeliness in collaboration with IT.
• Create and execute plans for data integrity improvements; communicate plans, progress and outcomes attained to stakeholders.
• Generate and distribute reports and dashboards that provide insights into data quality and compliance.
• Identify sources of repeat non-compliance with data standards, and drive corrective actions across people, process and technology dimensions.
• Proactively communicate newly discovered data deficiencies to internal stakeholders, including operations, analytics, and IT teams.
• Collaborate with IT and data engineering teams to optimize data storage, retrieval, and accessibility using appropriate technologies and tools.
• Collaborate with cross-functional stakeholders, including operational teams and IT, to identify optimal data acquisition strategies for externally sourced data, including system enhancements, data flow automation, automated inspections, etc.
• Facilitate communication between data producers and consumers to ensure mutual understanding and effective use of data assets.
• Ensure all data assets are properly recorded in Zebra’s enterprise data atlas tool; manage data dictionary & data lineage entries to maintain integrity of established semantic layer data models.
• Establish and oversee a structured change management processes for data-related changes, ensuring…