Full-Time

Director – Data Governance

Posted on 9/19/2025

Arizona State University

Arizona State University

No salary listed

Company Does Not Provide H1B Sponsorship

Scottsdale, AZ, USA

Hybrid

Hybrid work schedule; work from home two days a week.

Category
Data & Analytics (1)
Required Skills
Redshift
BigQuery
Machine Learning
Confluence
Snowflake
Requirements
  • Proven ability to design and implement governance systems that scale across complex data environments
  • Demonstrated experience implementing or administering metadata management platforms (e.g., Collibra, Purview, Alation)
  • Experience with data cataloging, profiling, and lineage tracking
  • Experience classifying sensitive, confidential, and public data, ensuring proper handling
  • Experience developing and enforcing data quality frameworks
  • Experience drafting and enforcing policies and standard operating procedures (SOPs) related to data use, management, and handling
  • Strong knowledge of data privacy and regulatory compliance frameworks and landscape (e.g., GDPR, CCPA, FERPA)
  • Experience evaluating and managing data use and processing agreements
  • Experience documenting processes and standard operating procedures (SOPs) using tools like Confluence
  • Excellent communication and collaboration skills, with a track record of cross-functional leadership
  • Experience with data warehousing, ETL processes, and cloud-based analytics environments (e.g. Fabric, Snowflake, Redshift, BigQuery)
  • Excellent customer service and stakeholder engagement skills, with a track record of cross-functional collaboration
  • Exceptional communication and presentation skills, with the ability to convey complex issues concisely and communicate data-related concepts to non-technical audiences and executives clearly
  • Ability to work independently, effectively prioritize multiple high-priority projects, and deliver high-impact initiatives on time
  • Desire and ability to foster a culture of collaboration and innovation in data utilization across all levels of the organization
  • Strong leadership skills with the ability to organize, motivate, and lead a team to achieve desired results
Responsibilities
  • Design and launch a comprehensive data governance program that aligns with organizational goals and supports enterprise-wide data integrity, security, and compliance
  • Develop and implement policies, procedures, and frameworks for data stewardship, classification, access, and lifecycle management
  • Establish and oversee data quality standards and monitoring processes to ensure accuracy, consistency, and reliability across all enterprise data assets
  • Lead the evaluation, implementation, and administration of metadata management platforms such as Collibra, Microsoft Purview, or Alation
  • Create and maintain systems to track data usage, lineage, and handling across large-scale data repositories and warehouses
  • Draft, review, and manage data use agreements, data processing agreements, and other data-sharing frameworks in collaboration with legal and compliance teams
  • Ensure compliance with regulatory and privacy standards, including GDPR, CCPA, FERPA, and other applicable frameworks
  • Collaborate with data, legal, IT, and business leaders to align governance practices with enterprise analytics and technology strategies
  • Promote a culture of data responsibility and literacy through training, documentation, and stakeholder engagement
  • Monitor emerging technologies and trends—such as AI, machine learning, and automation—to evolve governance practices and maintain innovation readiness
  • Operate independently to drive execution, manage timelines, and deliver scalable, high-impact governance solutions
  • Lead and mentor a team fostering a culture of innovation, collaboration, and continuous improvement
Desired Qualifications
  • Master’s degree or other graduate degree
  • Certified Data Management Professional (CDMP) or DM-BOK
  • Experience in higher education, nonprofit, or mission-driven organizations
  • Understanding of AI, machine learning, and their implications for data governance
  • Experience with Agile, Scrum, or Lean methodologies in data governance projects
Arizona State University

Arizona State University

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