Crocs - Broomfield, CO
posted 4 months ago
The Sr. Analyst, Data Governance & Data Quality at Crocs Inc. is a pivotal role that focuses on enhancing the quality and resiliency of the data environment by partnering with business stakeholders. This individual will be responsible for understanding the pain points of various departments, ideating solutions, and delivering results that save time and improve data quality. A passion for data is essential, as the role involves educating others within the organization about data governance and best practices. The ideal candidate will possess an inquisitive mindset, relentlessly seeking ways to solve problems through collaboration and execution of key deliverables. The mission of the Data Governance team is to make data easy to use and understand, while also adapting to the growth of the business in a complex data ecosystem. This includes improving data quality, fostering a data culture that values data as an asset, and driving the adoption of best practices to ensure compliance with data governance standards. In this role, the analyst will engage in data domain mapping, collaborating with data owners and stewards to identify critical data. They will help establish a community of data stewards, providing advisory support to ensure compliance with governance standards. Participation in the implementation and management of data governance tools is also a key responsibility. The analyst will work to establish trust with stakeholders globally, facilitating the adoption of data governance best practices across the organization. They will curate data definitions, policies, and key performance indicators, driving collaborative efforts between business and IT areas to understand differences across disparate data silos. Additionally, the analyst will support the transition of new business units into the governance structure, ensuring alignment with overall strategy and business needs. Developing training materials, standard operating procedures, and reusable templates will be essential to scale data governance across the enterprise, taking into account various user personas and workflows. The role requires collaboration with stakeholders to ensure that governance deliverables align with their efforts, maintaining consistency at a global scale.