Director, Data Enablement

Overview

Kobie is a values-led organization recognized as a Top Workplace. We foster a collaborative, growth-focused culture with a flexible work environment and a commitment to ethical innovation and data stewardship.

Kobie delivers market-leading, end-to-end loyalty solutions for world-class brands. We strive to grow enterprise value through loyalty and emotional connections with customers. Kobie is named a Top Workplace in the USA and Top Remote Workplace, and values diversity and inclusion across the organization.

Director of Data Governance

Lead the enterprise-wide data and AI governance strategy. Define the frameworks, standards, tools, and practices to ensure data and models are trustworthy, high-quality, and responsibly used. Serve as the central point of coordination between Engineering, Data Science, Legal, Compliance, Product, and Business teams to scale the data ecosystem with a culture of data stewardship, transparency, and accountability.

• Strategy & Program Leadership:
  Build and lead the Enterprise Data & AI Governance Program with frameworks, policies, and guidelines aligned with values, ethical AI principles, and regulatory requirements.
• Governance for data products:
  Define and operationalize governance for data products, ensuring metadata, lineage, and quality across platforms such as Databricks, Power BI, and Microsoft Fabric.
• Lifecycle governance:
  Oversee governance across the data and AI/ML lifecycle from design to deployment to monitoring and deprecation.
• AI & Responsible Tech Governance:
  Integrate governance into AI tools and platforms with model registries, risk assessments, explainability dashboards, and bias detection tools; stay aligned with evolving global AI regulations.
• Cross-Functional Collaboration:
  
  Partner with technical stakeholders and business leaders to ensure consistent data definitions, access, and usage; champion data stewardship through training and ongoing support.
• Tooling & Process Enablement:
  Drive automation of governance workflows and documentation; maintain assets like data dictionaries, glossaries, catalogs, and access control documentation.
• Monitoring, Metrics, & Reporting:
  Define KPIs and governance health metrics to track data quality, accessibility, bias mitigation, and program maturity; lead audits and compliance assessments; report to executives and the Board where appropriate.

• 10-12 years of experience in data governance, AI/ML governance, data product management, or risk/compliance in data-centric organizations, ideally in a fast-paced environment
• Strong understanding of data governance tools, frameworks (DAMA-DMBOK) and AI risk management models (AI RMF)
• Deep familiarity with regulations including GDPR, PCI, HIPAA, CCPA, and emerging AI legislation
• Hands-on experience with data and AI tooling (e.g., Microsoft Purview, Alation, Collibra, Databricks, Fabric, Power BI)
• Deep familiarity with metadata, data lineage, access controls, and master data strategies
• Proven leadership experience driving cross-functional influence across technical stakeholders and business leaders
• Proven success building and scaling data governance functions in Mar Tech or SaaS environments
• Ability to balance strategic thinking with operational execution in a fast-paced, high-growth environment
• Working knowledge of AI/ML development, model documentation, bias detection
• Passion for ethical innovation, curiosity for emerging technology, and commitment to operational integrity
• Change management expertise with the ability to drive governance adoption across technical and business functions (preferred)
• Bachelor’s degree in information security, computer science, information or related discipline (preferred)

If you’re ready to make an impact and grow in a supportive, innovative environment, we’d love to hear from you. Apply today and join the best and brightest in loyalty!