Director, Data Governance

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About this Role:

The Director of Data Governance will lead the design, implementation, and ongoing management of the enterprise data governance framework. This role sits within IT and serves as a critical bridge between technology and business stakeholders, ensuring data is trusted, well-managed, and aligned to organizational priorities. This leader will establish governance standards, drive alignment across the organization, and operationalize data ownership through strong engagement with business partners, data owners, and data stewards.

What You’ll Do:

• Enterprise Data Governance Strategy

  • Define and lead the enterprise data governance strategy, framework, and operating model.

  • Establish policies, standards, and procedures for data quality, metadata, lineage, privacy, and lifecycle management.

  • Align governance initiatives with business objectives, regulatory requirements, and risk management priorities.

• Stakeholder Engagement & Governance Forums

  • Lead and facilitate data governance councils, working groups, and steering committees.

  • Partner closely with business leaders, data owners, and data stewards to drive accountability and decision-making.

  • Act as the primary point of coordination between IT and business functions on all governance matters.

  • Drive adoption of governance practices through structured communication and engagement.

• Data Ownership & Stewardship

  • Define and operationalize data ownership and stewardship models across domains.

  • Support and enable data stewards with tools, processes, and training.

  • Ensure clear accountability for data quality, definitions, and usage.

• Data Quality & Controls

  • Establish and monitor data quality frameworks, KPIs, and remediation processes.

  • Implement controls to ensure data accuracy, consistency, completeness, and integrity.

  • Partner with engineering and analytics teams to embed governance into data pipelines and platforms.

• Metadata, Catalog & Lineage

  • Oversee implementation and adoption of data catalog and metadata management tools.

  • Ensure business glossaries, data definitions, and lineage are documented and maintained.

  • Promote discoverability and transparency of enterprise data assets.

• Compliance & Risk Management

  • Ensure adherence to data-related regulatory requirements (e.g., privacy, security, retention).

  • Partner with Legal, Security, and Risk teams to mitigate data risks.

  • Support audit readiness and regulatory reporting.

• Change Management & Adoption

  • Drive widespread adoption of data governance practices across the organization.

  • Develop training, documentation, and communication plans.

  • Establish success metrics and continuously improve governance maturity.

What You’ll Need:

• Experience

  • 8+ years of experience in data governance, data management, or related fields.

  • Proven experience building and scaling enterprise data governance programs.

  • Strong understanding of data management disciplines (data quality, metadata, MDM, lineage, privacy).

  • Experience leading initiatives across the organization and infl