The ideal candidate combines technical knowledge in AI / machine learning with strong business understanding, project leadership, and stakeholder management skills. What will you be doing: Define and execute the organization’s AI roadmap in alignment with business priorities. Identify and prioritize AI use cases across functions such as operations, manufacturing, supply chain, finance, HR, sales, customer service, and R&D based on business value, feasibility, data readiness, and implementation complexity. Build business cases for AI initiatives, including expected ROI, value drivers, cost assumptions, benefits, risks, and success metrics. Lead end-to-end AI projects from ideation, proof of concept, pilot, deployment, and scaling. Manage project timelines, resources, risks, budgets, and stakeholder expectations. Partner with IT, data, cybersecurity, and business teams to integrate AI into existing systems and workflows. Ensure data availability, quality, and governance for AI initiatives. Drive adoption of AI solutions through stakeholder engagement, training, and feedback loops. Monitor and optimize deployed AI solutions for business impact, adoption, cost, performance, scalability, and reliability, including cloud consumption, API/model usage, licensing, infrastructure, support effort, and vendor costs. Guide the selection and use of AI platforms, machine learning tools, cloud services, and GenAI technologies. Establish responsible AI practices, including transparency, fairness, privacy, security, and human oversight. Ensure compliance with relevant regulations, internal policies, and data governance standards. Requirements: Bachelor’s degree in computer science, Data Science, Engineering, Information Systems, or a related field. 5+ years of experience in IT, data, or digital transformation roles, with at least 2 years leading AI/ML initiatives. Experience building business cases for AI initiatives, including ROI, cost modeling, and value tracking. Ability to t
