Sr. Director/VP of Enterprise Data

<div class="content-intro"><h3><strong>Who We Are</strong></h3> <p>Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. A leader in cloud physical security, Verkada helps organizations strengthen safety and efficiency through one connected software platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.<br><br>Over 30,000 organizations worldwide, including more than 100 companies in the Fortune 500, trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. Founded in 2016, Verkada has expanded rapidly with 15 offices and 2,200+ full-time employees.</p></div><h4><strong>Position Overview</strong></h4> <p>The <strong>Sr. Director/VP of Enterprise Data</strong> is responsible for defining and advancing the company’s enterprise-wide data strategy across all non-product engineering business functions. </p> <p>In this role, the EDA will lead the development of a comprehensive framework to design, implement, and govern enterprise data. This effort will integrate diverse business systems, unify fragmented data, and provide accurate, trusted, and easily accessible information to empower decision-making and drive operational excellence.</p> <p>The EDA will define and champion the enterprise-wide data governance framework, aligning business and technology needs to deliver seamless processes for functional leaders and empower technical teams to create scalable, future-ready solutions.</p> <p>This role is especially critical in a <strong>fast-growing organization</strong>, where data consistency and reliability are foundational to operational excellence and future scalability.</p> <h4><strong>Key Responsibilities</strong></h4> <ul> <li><strong> Data Strategy Architecture</strong> <ul> <li>Define and own the <strong>enterprise data strategy</strong> in alignment with corporate goals.</li> <li>Design and maintain <strong>comprehensive data architecture</strong> spanning ERP, HRIS, CRM, ATS, Finance, and other core business systems.</li> <li>Ensure the architecture supports <strong>scalability, performance, and resilience</strong> as the company grows.</li> <li>Lead initiatives to break down data silos and establish trusted, <strong>unified sources of truth</strong> across the organization – this may include building a enterprise-wide data warehouse.</li> </ul> </li> <li><strong> Data Governance Stewardship</strong> <ul> <li>Champion a company-wide data governance framework that fosters a culture of data accountability—defining clear policies, ownership, stewardship, quality standards, and lifecycle management to ensure data is trusted and actionable.</li> <li><strong>Facilitate Regular Meetings:</strong> Schedule recurring governance council sessions with functional leaders, data stewards, and technical specialists to review priorities, align on decisions, and resolve data issues.</li> <li><strong>Drive Cross-Functional Collaboration:</strong> Act as the bridge between business and technology teams to ensure shared accountability for data quality and consistency.</li> <li><strong>Identify Track Data Gaps:</strong> Continuously monitor for data inconsistencies, missing attributes, or system misalignments across source systems.</li> <li><strong>Coordinate Remediation Efforts:</strong> Work with system owners and data stewards to resolve data gaps and improve data accuracy.</li> <li><strong>Implement Monitoring Alerts:</strong> Establish automated data quality checks and exception reporting to proactively detect and address issues.</li> <li><strong>Maintain Governance Policies:</strong> Keep data ownership, stewardship, and lifecycle management policies up to date.</li> <li><strong>Ensure Compliance:</strong> Monitor adherence to data standards and escalate when policies are not followed.</li> <li><strong>Measure Effectiveness:</strong> Track key dat ... (truncated, view full listing at source)