Data Governance Lead

Your role at Dynatrace

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.

About the Role:

This is a foundational hire: an experienced, strategic and collaborative Data Governance Lead to shape the companywide data governance framework. You will define the enterprise standards, processes and operating model for trusted, scalable data and establish the vision and framework for governance. You will partner with engineering to build the platform capabilities that make governance real with reliable data for both analytics and AI, operating within a hub-and-spoke model that sets central standards while decentralized owners, stewards and data product managers apply them.

You will help establish AI-ready data and the model for how data and AI can be used responsibly, including the self-service standards that let people and AI tools consume governed data. You will work hands-on while building the practices that scale the function as it grows. This is a high-impact role focused on building trust in data, driving adoption and supporting enterprise decision-making.

What You’ll Do:

Governance Framework, Standards & Operating Model

• 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

• Refine 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

This is a remote eligible position. Candidates who live within a 45 mile radius of Boston, MA; Detroit, MI; and Denver, CO will be required to work hybrid (2 days per week) out of our Dyntrace office. Candidates are required to work EST hours for this position.

What will help you succeed

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

Why you will love being a Dynatracer

• A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly.

• Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research.

• A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries.

• An environment that fosters innovation, enables creative collaboration, and allows you to grow.

• A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals.

• A truly international mindset that is being shaped by the diverse personalities, expertise, and backgrounds of our global team.

• A relocation team that is eager to help you start your journey to a new country, always there to support and by your side.

• Attractive compensation packages and stock purchase options with numerous benefits and advantages.

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.

Dynatrace is an Equal Opportunity/Affirmative Action employer. 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.