Data Governance Lead

About the role

Dynatrace’s Data & Analytics organization is building a scalable, AI-ready, self-service data ecosystem and standing up a dedicated Data Governance function to define the standards and practices that make data trustworthy and safe for analytics and AI. We treat governance as an enabler, not a gate, a central hub setting companywide standards while partnering with decentralized data owners and stewards.

What You’ll Do

• Own the enterprise data governance standards, processes and operating model, with input from executive sponsors and data teams
• Partner with data product managers who apply governance standards in their workstreams, ensuring portfolio consistency
• Build and lead executive and cross-functional councils on standards, priorities and tradeoffs
• Refined the data roles model (owners, stewards, custodians) and drive governance adoption and data literacy
• AI-Ready Data, Self-Service & AI Enablement
• Set the readiness criteria and standards that make data AI-ready, structured, documented, high-quality and governed for analytics and AI/LLM use
• Establish self-service and data management standards so business users and AI tools can safely consume governed data
• Define the standards to enable access to data, how users and AI/agent workflows can reach data, how data is made accessible, with audit trails
• Support the AI governance model and partner with security, legal and privacy on AI enablement
• Data Reliability, Quality & Metadata
• Establish the framework for data reliability, including the heightened bar AI and ML demand, with monitoring, scorecards and remediation
• Oversee metadata, classification, tagging and lineage across the estate (Snowflake, dbt, Power BI), keeping assets discoverable
• Platform Partnership, Security & Access Governance
• Partner with platform and data engineering to build the capabilities that operationalize governance for secure, reliable data
• Define access governance standards (RBAC/RLS, sensitivity labeling) and controls for material non-public information, including insider/MNPI and compliance

Minimum Requirements

• 10+ years in enterprise data, including 5+ in data governance with demonstrated leadership
• Bachelor’s degree in Information Management, Data Science, Business or a related field

Preferred Requirements

• Experience with Snowflake, dbt, Power BI and governance tooling
• Proven ability to build data governance frameworks, standards and operating models from the ground up
• Strong knowledge of governance frameworks (DAMA-DMBOK, DCAM), data management (stewardship, metadata, MDM) and data warehousing/BI
• Deep understanding of the data foundations AI requires, quality, lineage, metadata, access control and experience making data AI-ready
• Working knowledge of access governance (RBAC/RLS, classification, labeling) and compliance (GDPR, CCPA, SOX, HIPAA)
• Proven ability to build and lead executive councils, with strong executive presence and communication

Compensation and Rewards

DOE, salary $130K - $160K, plus Health, Dental, Life, STD, LTD, 401K, PTO. Total compensation may vary depending on candidate experience/education and location.

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, sex, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities, age, sexual orientation, creed, disability status, veteran status, pregnancy, genetic status, or any other characteristic protected by law. If your disability makes it difficult for you to use this site, please contact careers@dynatrace.com.