Data Governance Architect

Job Description SUMMARY: The Data Governance Architect is the main coordinator between the business owners of products and platforms and the data solutions to meet their needs. This role is the design and business lead within the Data Governance organization, driving responsible and scalable data practices across data teams right-sized to the business needs across Stride. ESSENTIAL FUNCTIONS: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. Gather, refine, prioritize, and manage business and product data use-cases into an actionable backlog triaged between Data Engineering, Data Modeling, Data Science, Data Analytics, and Data Governance teams; Drive data protection, traceability, and privacy compliance processes as the administrator of the OneTrust platform; Drive business ownership, data quality rule definition, and appropriate data uses and protections for domain-based data modeling; Coordinate and communicate data priorities, delivery, and value to varied audiences from executive leadership to product stakeholders to data and development implementation teams, aligning expectations and resolving conflicts as they arise. Advocate for the business and their data needs, helping to translate into actionable requirements, and connecting stakeholders to the teams and solutions that best meet their needs. Coordinate between data delivery teams (modeling, architecture, engineering, analytics, data science) to map business data needs to solutions, roadmaps, and delivery. Consult on product and platform development through design, development, and release phases to provide actionable requirements to meet data governance standards. This position has no formal supervisory responsibilities. MINIMUM REQUIRED QUALIFICATIONS: Seven (7) years of relevant professional experience working with data including analytics and BI, data modeling, data science, data architecture, or database management Experience desiging and standing up technical data governance and management practices including metadata management, data ownership and stewardship, data lineage, data quality, data contracts/sharing agreements, and data tagging. Experience working with, designing, and/or developing data solutions across database types (relational, unstructured, graph) in cloud and on-prem environments Deep understanding of data governance and management practices including metadata management, data ownership and stewardship, data lineage, data quality, data contracts/sharing agreements, and data tagging. Ability to develop relationships across functions and inspire trust and confidence through effective communication and interpersonal skills. Excellent communication and presentation skills (verbal and written), able to target content to fit the audience, both execuitive and operational, technical and non-technical. Demonstrated ability to translate complex business processes and technical designs into clear and actionable data requirements. Demonstrated project management planning and organization skills, both as a team lead and between partnering organizations. Ability to travel up to 10% of the time Ability to clear required background check Certificates and Licenses: None required. DESIRED QUALIFICATIONS: Bachelor's or graduate degree in Computer Science, Mathematics, Statistics, Information Systems, Library Science or a related field, or equivalent training Ten (10) years of relevant professional experience working with data including analytics and BI, data modeling, data science, data architecture, database management Experience in K-12 education as a teacher, researcher or data personnel Demonstrated experience in creating end to end products to drive business outcomes WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable acco