Key Responsibilities for Lead AI : Project Leadership & Delivery Lead the planning, execution, and delivery of AI initiatives aligned with business priorities Build business cases with AI as a backbone around : Increasing Customer Experience, Increasing Operational Efficiency, Campaign Intelligence, Insights to Front-end teams, etc. Collaborate with data science, engineering, and business teams to define requirements, timelines, and KPIs. Own the project lifecycle—from idea validation through to deployment and post-launch performance tracking. AI Strategy & Business Alignment Work closely with business stakeholders to identify opportunities where AI can drive value. Translate business problems into data-driven solutions and actionable AI use cases. Advocate for the adoption of AI and educate non-technical stakeholders on AI capabilities and limitations. Cross-functional Collaboration Facilitate communication between technical and non-technical teams. Align stakeholders across product, operations, IT, data, and executive leadership. Change Management & Adoption Drive user adoption by ensuring projects are human-centered and business-relevant. Create feedback loops and support teams in adjusting processes to effectively leverage new AI tools. Governance & Ethics Ensure ethical and responsible AI use by working with internal risk, compliance, and legal teams. Contribute to developing standards and best practices for AI governance. Qualifications: Required: 5–10 years of experience in project management, digital transformation, or business consulting roles, ideally with a focus on technology or AI. Proven experience leading AI/ML or data-driven projects from concept to production. Strong understanding of AI/ML concepts and their application in business contexts (you don’t need to code, but you should understand the methods and limitations). Experience working with cross-functional teams in matrix organizations. Exceptional communication and stakeholder management skills. Preferred: Background in industries such as finance, retail, healthcare, logistics, or manufacturing where AI is driving transformation. Experience working with Agile or hybrid project delivery methodologies. Familiarity with AI/ML platforms (e.g., AWS Sagemaker, Azure ML, Google Vertex AI) or low-code/no-code AI tools (good to have) Master’s degree in Business, Technology, Data Science, or related field.
Job Title
Business Lead – AI projects