Manager AI

Who We Are

Robert Half is seeking a Manager AI who will provide strategic leadership for the development, delivery, and advancement of the organization's artificial intelligence capabilities, data science practices, and intelligent software solutions. This role leads multidisciplinary AI teams consisting of Data Scientists, AI Engineers, Machine Learning Engineers, and related technical professionals responsible for building scalable, secure, governed, and impactful AI solutions that support critical business capabilities. The Manager AI translates enterprise AI strategy into actionable team objectives, operating models, delivery roadmaps, and organizational capabilities that accelerate AI adoption and create measurable business value.

What You’ll Do

• •Translate enterprise AI strategy into actionable team objectives, delivery priorities, operating models, and investment plans that enable measurable business outcomes.
• •Guide the adoption of advanced AI capabilities, including large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, multimodal AI, knowledge architectures, and emerging AI technologies to address strategic business needs.
• •Evaluate emerging AI trends, technologies, and industry practices to influence AI roadmap decisions, identify innovation opportunities, and ensure the organization effectively leverages evolving AI capabilities.
• •Provide leadership and strategic guidance to Data Scientists, AI Engineers, Machine Learning Engineers, and technical leaders to ensure alignment between business objectives, technical capabilities, and organizational priorities.
• •Drives continuous improvement across AI development practices, including experimentation, model development, evaluation, deployment, monitoring, governance, and lifecycle management, while balancing innovation, operational excellence, risk management, and business outcomes.
• •Establish the long-term enterprise AI technology vision, strategic architecture, and innovation roadmap for AI platforms, intelligent systems, and enterprise engineering capabilities that enable transformational business outcomes.
• •Provide executive-level technical leadership for enterprise AI architecture governance, ensuring strategic alignment across scalability, security, resilience, interoperability, responsible AI, regulatory compliance, operational excellence, and long-term technology evolution.
• •Lead the development and enhancement of complex AI-enabled applications, platform services, and enterprise frameworks with broad organizational impact.
• •Design and implement reusable, scalable components that enable multiple development teams to accelerate AI solution delivery.
• •Drive adoption of software engineering best practices, code quality standards, and automation across AI initiatives.
• •Partner with executive leadership, product leaders, engineering leaders, enterprise architects, data organizations, security, infrastructure, governance teams, and business stakeholders to shape AI strategy and accelerate organizational transformation.
• •Ensure AI initiatives align with enterprise architecture, cybersecurity, responsible AI principles, regulatory requirements, data governance standards, and operational excellence objectives.
• •Own the execution and delivery of AI initiatives by establishing priorities, managing resources, removing delivery barriers, and ensuring teams deliver scalable, secure, and impactful AI solutions.
• •Manage the AI project and product portfolio, balancing strategic investments, business priorities, technical dependencies, delivery commitments, and organizational capacity.
• •Partner with Product Managers, business stakeholders, engineering teams, and technical leaders to define requirements, establish success metrics, measure outcomes, and ensure AI solutions deliver meaningful business value.
• •Drive effective AI solution lifecycle management, including discovery, experimentation, model development, evaluation, deployment, monitoring, optimization, and continuous improvement.
• •Support the evolution of AI platforms, developer capabilities, data products, experimentation environments, and reusable AI services by partnering with technical leaders and engineering teams.
• •Lead, manage, and develop a team of Data Scientists, AI Engineers, Machine Learning Engineers, and related AI professionals responsible for delivering enterprise AI capabilities.
• •Build and maintain a high-performing AI organization through effective hiring, workforce planning, talent development, performance management, and career growth strategies.
• •Coach and mentor technical professionals by providing career guidance, growth opportunities, feedback, and support for developing advanced AI engineering and data science capabilities.
• •Establish and promote AI governance practices that ensure responsible, secure, reliable, and compliant AI development and deployment.
• •Partner with engineering, security, data governance, risk, and compliance teams to ensure AI solutions align with enterprise standards for privacy, security, responsible AI, and regulatory requirements.
• •Define team-level quality expectations and operational practices for AI solutions, including model evaluation, validation, monitoring, performance measurement, and production readiness.
• •Drive continuous improvement across AI processes, tools, methodologies, and organizational practices to increase delivery velocity, quality, and business impact.

What You’ll Need

• •Bachelor's degree in related field or equivalent experience.
• •3+ years of professional experience in software engineering, data science, machine learning, artificial intelligence, technology delivery, and technical leadership within large-scale enterprise environments, including demonstrated success building high-performing technical teams, delivering enterprise AI capabilities, managing complex technology initiatives, and translating business objectives into scalable AI solutions.
• •Demonstrated experience leading AI, data science, software engineering, or technology teams responsible for developing and deploying production-grade AI capabilities, including experience managing technical roadmaps, resource planning, delivery execution, and organizational transformation initiatives.
• •Proven track record of leading complex, ambiguous technology initiatives by aligning people, processes, technical capabilities, and business priorities to deliver measurable outcomes and long-term organizational value.
• •Proven ability to lead and develop multidisciplinary teams of Data Scientists, AI Engineers, Machine Learning Engineers, and software professionals while building a culture of innovation, collaboration, technical excellence, and continuous improvement.
• •Exceptional ability to communicate complex AI concepts, technical strategies, delivery plans, risks, and opportunities to executive leadership, business stakeholders, technical teams, and non-technical audiences.
• •Demonstrated ability to partner effectively with executives, product leaders, engineering leaders, architects, data organizations, security teams, governance teams, and business stakeholders to align priorities and drive successful AI adoption.
• •Strong strategic thinking, organizational leadership, analytical problem-solving, decision-making, and execution skills in rapidly evolving AI and technology environments.
• •Strong technical understanding of enterprise AI capabilities, including large language models (LLMs), foundation models, generative AI applications, agentic AI, retrieval-augmented generation (RAG), machine learning systems, AI evaluation methodologies, and emerging AI technologies.
• •Strong understanding of enterprise AI solution lifecycles, including discovery, experimentation, data preparation, model development, evaluation, deployment, monitoring, optimization, and continuous improvement.
• •Experience implementing or supporting responsible AI practices, incl