Data Domain Manager

Deckers Brands•Washington, DC

7d•$108,700 - $146,700•Remote

About The Position

At Deckers Brands, Together, Every Step is a promise kept that every employee can bring their authentic self, is valued and supported, as a whole person, at work and beyond. Together, Every Step is how we continue to deliver exceptional business results, experience an amazing place to work, and have a positive impact on the communities and world around us. The Role As a Domain Data Manager, you will lead the management, governance, and continuous improvement of enterprise data within a business domain, ensuring data is trusted, well-defined, accessible, and fit for use across business processes, analytics, technology, and enterprise transformation. You’ll partner with business and process owners, data and technology teams, and functional stakeholders to establish domain strategy, identify critical data elements, define ownership and standards, and drive resolution of systemic data issues. Your initial focus will be on the Product data domain, supporting Product Lifecycle Management (PLM) processes and capabilities, with opportunities to expand your impact as enterprise priorities evolve. We celebrate diversity--of your background, your experiences and your unique identity. We are committed to ensuring an inclusive and equitable workplace where all of our employees can Come as They Are. We believe that when we bring our different perspectives to work, we are truly Better Together.

Requirements

Bachelor’s degree in Business, Information Systems, Data Management, Supply Chain, Operations, Computer Science, or a related discipline (or equivalent relevant experience).
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.
Experience establishing data quality measures, KPIs, thresholds, and controls; analyzing trends; conducting root cause analysis; and driving remediation.
Experience with business metadata, data definitions, authoritative sources, data lineage, and lifecycle management.
Proven ability to influence stakeholders, facilitate governance decisions, resolve complex data issues, and drive accountability across teams.
Strong knowledge of data governance, data quality, master data management, metadata, data lineage, stewardship, and lifecycle management principles.
Strong analytical and problem-solving capabilities, business acumen, and enterprise mindset.
Excellent facilitation, communication, and stakeholder management skills.
Ability to translate business needs into data standards, quality requirements, governance processes, technology requirements, controls, and actionable improvement priorities.
Strong understanding of enterprise systems, integrations, data dependencies, reporting and analytics requirements, and technology-enabled data management capabilities.
Experience with enterprise data management technologies such as MDM platforms, data quality solutions, data catalogs, metadata/lineage tools, workflow tools, and reporting/visualization platforms.
Ability to leverage automation, AI-enabled capabilities, and emerging data technologies to improve data quality, governance effectiveness, and business outcomes.
Demonstrates authenticity, champions diverse and effective teams, drives strategy, cultivates innovation, delivers results, and builds connection.

Nice To Haves

Data Governance, Data Management, Master Data Management, or Data Quality certification preferred.
Process Excellence, Change Management, Project Management, or enterprise transformation certification preferred.
Experience supporting product data, product lifecycle management processes, or PLM systems strongly preferred.
Experience within a global, multi-brand organization preferred; consumer products, retail, footwear/apparel, manufacturing, or supply chain experience preferred.

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.