The Director will lead and oversee the strategic direction and execution of AI transformation initiatives. This role is responsible for spearheading AI adoption to enhance business performance and innovation. The Director will collaborate with cross-functional teams, manage resources, and ensure alignment with organizational goals to deliver measurable business outcomes. Drive AI transformation initiatives by identifying opportunities for AI integration, managing AI projects, and fostering a culture of innovation and continuous learning. Collaborate with executive leadership, business units, and technical teams to align AI initiatives with overall business strategy. Establish governance frameworks for responsible AI use, ensuring compliance with ethical, legal, and regulatory standards. Manage and develop a high-performing team of AI specialists. Establish and maintain our harness and tool portfolio for AI-driven development Monitor AI performance, ROI, and impact on business outcomes, adjusting strategies as needed to maximize value. Champion workforce development by promoting AI literacy, upskilling, and reskilling programs to prepare teams for evolving technology landscapes. Oversee risk management related to data quality, security, privacy, and AI implementation. Foster partnerships with internal and external stakeholders, including AI developers, legal, compliance, and business leaders, to support AI initiatives and operational goals. Minimum Qualifications: Minimum of 15 years of experience in data analytics, product management, or digital transformation, with at least 10 years in a leadership role within a global technology organization (preferably hyperscalers). Demonstrable experience directly managing and developing high-performing product or strategy team, influencing cross-functional teams of 100 individuals, including data scientists, analysts, and product managers or similar talent. Proven experience working directly with AI technologies and SDLC Demonstrable experience establishing and overseeing AI governance and data privacy frameworks. Bachelor’s degree (e.g., Science, Business, Statistics, Economics, or Engineering) Preferred Qualifications: Expertise in AI literacy, prompt engineering, and data fundamentals. Familiarity with agile methodologies and project management in AI and analytics contexts. Experience with AI governance frameworks and risk mitigation strategies. Demonstrated success in fostering innovation and continuous improvement in a fast-paced, technology-driven environment. Strong collaboration skills with legal, compliance and IT teams.