IT Data Analytics Director

IT Data Analytics Director

12804

Specific Responsibilities

The Director of AI, Data Analytics, Data Engineering, Data Management, and Application Development, located in Houston, TX, is a senior leadership role responsible for overseeing and integrating multiple data-centric functions within the organization. This role ensures the strategic alignment of AI and data initiatives with business objectives, driving innovation, efficiency, and data-driven decision-making across the enterprise. This role will be primarily responsible to:

Develop and execute the enterprise data, analytics, and AI strategy aligned with business objectives, digital transformation priorities, and long-term business value creation. Lead, mentor, and develop multidisciplinary teams spanning data engineering, analytics, data management, AI/ML, digital products, and application delivery. Foster a culture of innovation, collaboration, operational excellence, accountability, and continuous learning across the organization. Partner with business and technology leaders to identify, prioritize, and deliver high-value data and AI initiatives that improve business performance and operational efficiency. Establish and oversee enterprise analytics capabilities that provide actionable insights to support operational, commercial, and strategic decision-making. Define and govern the enterprise data architecture, including cloud data platforms, data integration patterns, and scalable data products. Oversee the design, implementation, and operation of secure, reliable, and scalable data pipelines, data services, and integration capabilities. Develop and maintain policies, standards, and controls that protect the confidentiality, security, integrity, and availability of enterprise information assets. Lead the identification, development, deployment, and governance of artificial intelligence and machine learning solutions that improve operational performance and business outcomes. Establish responsible AI practices including AI governance, model lifecycle management, model risk management, transparency, explainability, and ongoing monitoring. Drive adoption of generative AI capabilities and AI-assisted software development practices to improve productivity and accelerate solution delivery. Evaluate emerging technologies, industry trends, and market developments to identify opportunities for innovation and competitive advantage. Oversee the delivery, support, and lifecycle management of data-driven applications, low-code solutions, digital products, and workflow automation solutions that support business operations. Ensure applications and digital solutions are scalable, secure, maintainable, user-friendly, and aligned with enterprise architecture standards. Develop and manage annual operating plans, budgets, forecasts, and investment strategies within approved financial targets and organizational variance expectations. Monitor technology spending, cloud and AI consumption, software licensing, and operational costs and implement cost optimization and FinOps practices across the portfolio. Manage strategic relationships with technology vendors, service providers, system integrators, and implementation partners. Lead technology evaluations, proof of concepts, contract negotiations, and vendor performance management activities. Ensure alignment between enterprise IT, cloud, cybersecurity, operational technology (OT), and business