We are looking for an experienced Database Technology Manager to oversee the stability, security, and performance of enterprise database environments in Tempe, Arizona. This role combines hands-on database administration with team leadership, requiring someone who can guide technical staff, improve operational standards, and communicate clearly with both technical and non-technical stakeholders. The ideal candidate brings strong Microsoft SQL Server expertise, a disciplined approach to backup and recovery planning, and the ability to support reliable database operations in a regulated setting.<br><br>Responsibilities:<br>• Lead the administration and day-to-day support of production Microsoft SQL Server environments, ensuring high availability, reliability, and consistent performance.<br>• Supervise and mentor technical team members, establish operational standards, and review database-related work for quality and accuracy.<br>• Manage core SQL Server services and features, including instance setup, Always On availability groups, backup and restore processes, SQL Server Agent, and Database Mail.<br>• Develop, maintain, and validate backup and disaster recovery strategies through regular testing and documented recovery procedures.<br>• Analyze database performance issues using execution plans, wait statistics, and tuning techniques to improve efficiency and system responsiveness.<br>• Create and maintain PowerShell-based automation to streamline administrative tasks and reduce manual effort.<br>• Oversee database security controls, permissions, and compliance practices within an audited or regulated environment.<br>• Produce clear technical documentation such as runbooks, incident summaries, and architecture recommendations for a broad audience.<br>• Support upgrade and migration activities across database versions when needed, while minimizing operational disruption.<br>• Participate in on-call support rotations and perform after-hours maintenance to sustain system availability.
<p><strong>Robert Half is working with a client who is looking to hire a Director of Data & AI</strong> to lead the organization's enterprise data, analytics, and artificial intelligence strategy.</p><p>This individual will be responsible for building the roadmap, team, governance model, and technology capabilities required to expand the organization's use of data and AI. The Director will work closely with senior technology and business leadership and will oversee several strategic initiatives spanning data modernization, business intelligence, advanced analytics, machine learning, and generative AI.</p><p>Responsibilities</p><ul><li>Define and execute the enterprise Data and AI strategy.</li><li>Develop a multi-year roadmap for data platforms, analytics, and AI capabilities.</li><li>Lead Data Engineering, BI, Analytics, Data Science, and AI functions.</li><li>Identify high-value AI and analytics opportunities across business units.</li><li>Establish enterprise standards for data architecture and governance.</li><li>Oversee major cloud data platform and modernization initiatives.</li><li>Build policies and governance processes for responsible AI adoption.</li><li>Manage technology partners, consulting firms, and strategic vendors.</li><li>Develop business cases and investment proposals for Data and AI initiatives.</li><li>Recruit, develop, and lead high-performing technical teams.</li><li>Establish KPIs measuring adoption, business value, data quality, and program performance.</li><li>Present strategy, progress, and recommendations to executive leadership.</li></ul><p><br></p>
<p><strong>Robert Half is working with a client who is looking to hire a Data Governance Lead</strong> to establish and mature an enterprise-wide data governance program.</p><p><br></p><p>This individual will help define how critical organizational data is classified, owned, documented, protected, and managed. The position will work across technology, security, compliance, analytics, and business teams.</p><p><br></p><p>Responsibilities</p><ul><li>Develop and implement an enterprise data governance framework.</li><li>Establish data ownership, stewardship, and accountability models.</li><li>Define data quality standards and monitoring processes.</li><li>Develop policies around data classification, retention, access, and usage.</li><li>Build and maintain enterprise business glossaries and data catalogs.</li><li>Partner with business leaders to identify critical data elements.</li><li>Work with Security, Risk, Legal, and Compliance teams on data controls.</li><li>Establish governance processes for analytics and AI initiatives.</li><li>Lead data governance councils and stakeholder meetings.</li><li>Define governance KPIs and report program maturity to leadership.</li></ul><p><br></p>