Remote Data Domain Manager: Governance & PLM

Deckers Brands; Oregon (WI); On-site; USD 109,000 - 147,000; Full time

Benefits offered by this job

Competitive pay

Bonuses

Financial planning

Time off

Discounts

Growth & development

Health & wellness

Job summary

Deckers Brands is seeking a Data Domain Manager to lead governance of enterprise data within the Product data domain, partnering with business and technology teams to set standards and resolve data issues. This role focuses on building a domain strategy, ownership, and data quality improvements across PLM processes and analytics.

The ideal candidate has 6–8 years in data governance, data stewardship, or enterprise transformation, with experience shaping data standards and driving

Qualifications

• Bachelor’s degree in Business, Information Systems, Data Management, Supply Chain, Operations, Computer Science, or a related discipline (or equivalent relevant experience).
• Data Governance, Data Management, Master Data Management, or Data Quality certification preferred.
• Process Excellence, Change Management, Project Management, or enterprise transformation certification preferred.
• 6–8 years of experience in data governance, master data management, data stewardship, business operations, process management, or enterprise transformation, with responsibility for managing data across a business domain.
• Demonstrated experience establishing or maturing data governance practices, including data ownership, decision rights, identification of critical data, definition of standards and business rules, and prioritization of improvements.

Responsibilities

• Shape the future of Deckers’ data landscape by leading domain data strategy, ownership, and prioritization, ensuring our data drives business transformation and innovation.
• Champion data governance by partnering with cross-functional stakeholders to establish clear ownership, accountability, and decision rights, creating a culture of trust and transparency.
• Identify and govern critical data elements, setting the standards and business rules that empower teams to make informed decisions and deliver exceptional results.
• Develop and execute a domain data roadmap, prioritizing improvements that maximize business value, mitigate risk, and support enterprise transformation.
• Elevate data quality and health by defining robust quality dimensions, KPIs, and controls, and leading root cause analysis to resolve systemic issues and drive continuous improvement.
• Monitor and enhance domain data health, proactively escalating risks and driving improvements in accuracy, completeness, consistency, validity, and timeliness.
• Manage domain metadata, lifecycle, and stewardship, ensuring data is well-defined, accessible, and responsibly managed throughout its lifecycle.
• Enable enterprise processes, technology, and transformation by translating business needs into actionable governance and technology requirements, supporting system implementations and integrations.
• Drive domain performance and continuous improvement by establishing health metrics, quality scorecards, and performance reporting, and identifying opportunities to simplify, standardize, and automate data management practices.
• Leverage emerging technologies and AI to strengthen data quality, governance effectiveness, and business outcomes, positioning Deckers as a leader in data-driven innovation.

Skills

Data governance

Data management

Data quality

Stakeholder management

PLM knowledge

Education

Bachelor’s degree or equivalent

Tools

MDM platforms

Data quality solutions

Data catalogs

Metadata/ lineage tools

Workflow tools

Reporting/visualization platforms

Job description

Deckers Brands is seeking a Data Domain Manager to lead governance of enterprise data within the Product data domain, partnering with business and technology teams to set standards and resolve data issues. This role focuses on building a domain strategy, ownership, and data quality improvements across PLM processes and analytics.

The ideal candidate has 6–8 years in data governance, data stewardship, or enterprise transformation, with experience shaping data standards and driving