Data Policy & Governance Lead

Accountabilities:: Design, implement, and scale governance-as-code frameworks, integrating automated data policies, sensitivity classifications, and access controls directly into enterprise data pipelines. Replace manual governance processes with continuous, programmatic verification and automated policy enforcement to improve efficiency, consistency, and compliance. Leverage internal data intelligence and platform technologies to discover, classify, and contextualize enterprise data, establishing proven governance practices that can be replicated for customers. Collaborate with Data Architecture teams to embed governance requirements into enforceable data contracts, including data ownership boundaries, lifecycle quality controls, and contextual access permissions. Establish authoritative data management practices and trusted single-record sources to prevent fragmentation, duplication, and inconsistencies across business units. Ensure the integrity, security, and reliability of customer, product, and operational data across enterprise platforms, including ServiceNow, CRM, and Master Data Management (MDM) systems. Partner with Security, Privacy, Legal, and Engineering stakeholders to address complex governance challenges, regulatory requirements, and emerging AI-related risks. Work closely with customer-facing engineering teams to translate validated internal governance frameworks into scalable enterprise advisory services. Conduct data governance maturity assessments, executive workshops, and technical advisory sessions to help customers strengthen their data management strategies and prepare for AI adoption. Identify opportunities to leverage AI-assisted tools and automated development workflows to streamline data classification, policy testing, and governance reporting. Requirements: Demonstrated professional experience implementing hands-on data governance, data intelligence, and regulatory compliance programs within modern, cloud-scale data environments. Strong technical expertise in programmatic policy frameworks, automated access and entitlement enforcement, and governance-as-code solutions. Practical experience with tools and technologies such as Open Policy Agent (OPA), attribute-based access control (ABAC), Unity Catalog, and modern enterprise metadata or data catalog platforms. In-depth understanding of global data privacy and regulatory frameworks, including GDPR and CCPA, with the ability to translate regulatory requirements into practical governance controls. Familiarity with emerging AI governance, risk management, and compliance frameworks, particularly the NIST AI Risk Management Framework (AI RMF). Proven experience designing and deploying automated data policies, classification processes, access controls, and governance standards across complex enterprise systems. Strong advisory and stakeholder management capabilities, with the ability to engage effectively with technical teams, executives, legal professionals, and security specialists. Excellent communication and presentation skills, including experience leading executive-level discussions, technical workshops, and governance maturity assessments. Ability to quantify the business value of data governance initiatives and communicate complex technical and regulatory concepts in a clear, actionable manner. Hands-on experience using AI-assisted tools or development workflows to improve data classification, policy validation, testing, and automated reporting. Strong analytical thinking, strategic problem-solving abilities, and the capacity to navigate complex, cross-functional projects in a dynamic technology environment. A proactive, collaborative mindset, with a strong commitment to innovation, accountability, and continuous improvement. Benefits: Competitive annual base salary: USD $107,000–$230,000, depending on role level, experience, and geographic location. Additional compensation: Potential eligibility for performance-based incentive pay and/or equity compensation. Flexible time off: Paid time-off arrangements designed to support work-life balance and personal well-being. Wellness resources: Access to resources and initiatives supporting employees' physical and mental well-being. Flexible working environment: Remote working opportunities within the United States. Professional development: Opportunities to expand technical expertise, develop leadership capabilities, and contribute to innovative projects. Career growth: A supportive environment that encourages professional development, innovation, and long-term career progression. Collaborative culture: Work alongside talented professionals in an environment that values teamwork, shared success, and continuous learning. Company-sponsored events: Opportunities to connect with colleagues and participate in team-building activities. Inclusive workplace: A culture that values diversity, encourages different perspectives, and supports employee resource groups and inclusive leadership. Accessibility support: Reasonable accommodations are available throughout the recruitment process for candidates who need them.