Director of Data & AI

Description

Robert Half is working with a client who is looking to hire a Director of Data & AI to lead the organization's enterprise data, analytics, and artificial intelligence strategy.

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.

Responsibilities

• Define and execute the enterprise Data and AI strategy.

• Develop a multi-year roadmap for data platforms, analytics, and AI capabilities.

• Lead Data Engineering, BI, Analytics, Data Science, and AI functions.

• Identify high-value AI and analytics opportunities across business units.

• Establish enterprise standards for data architecture and governance.

• Oversee major cloud data platform and modernization initiatives.

• Build policies and governance processes for responsible AI adoption.

• Manage technology partners, consulting firms, and strategic vendors.

• Develop business cases and investment proposals for Data and AI initiatives.

• Recruit, develop, and lead high-performing technical teams.

• Establish KPIs measuring adoption, business value, data quality, and program performance.

• Present strategy, progress, and recommendations to executive leadership.

Requirements

Qualifications

• 10+ years of progressive experience across Data, Analytics, Engineering, or AI.

• 5+ years of leadership experience managing technical teams.

• Experience leading enterprise-scale data transformation programs.

• Strong understanding of modern cloud data architecture.

• Experience with platforms such as Snowflake, Databricks, Microsoft Azure, AWS, or comparable technologies.

• Understanding of machine learning, generative AI, data governance, and advanced analytics.

• Demonstrated experience translating technology investments into measurable business outcomes.

• Strong executive communication and stakeholder-management skills.

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