Manager-Advisor AI

• Strategic Advisory • Partner closely with the executive leadership on AI priorities. • Assess organizational challenges and identify areas where AI can improve performance, efficiency, service quality, or growth. • Develop enterprise AI roadmaps and transformation plans. • Provide market insight on emerging AI capabilities and relevant use cases. • Opportunity Identification & Business Value Creation • Evaluate use cases across corporate functions, operations, customer services, analytics, and productivity. • Prioritize opportunities based on value, feasibility, speed, and readiness. • Build business cases with expected ROI, cost, risk, and implementation requirements. • Solution Design & Architecture • Lead end-to-end design of AI solutions including data, models, workflows, governance, and integrations. • Architect solutions using cloud, hybrid, or on-premise environments. • Design GenAI, copilots, RAG, workflow automation, and agent-based solutions. • Recommend suitable technologies and vendors based on business requirements. • Delivery Leadership • Convert approved initiatives into structured execution plans. • Coordinate internal teams, vendors, and stakeholders to ensure timely delivery. • Oversee pilots, proofs of concept, production deployments, and scaling. • Track progress, resolve blockers, and maintain delivery momentum. • Governance & Capability Building • Support responsible AI adoption, controls, security, and risk management. • Establish KPIs, dashboards, and value-tracking mechanisms. • Build internal awareness and capability through workshops and leadership sessions • 7+ years in AI, digital transformation, consulting, or enterprise technology leadership. • Strong recent experience in AI, GenAI, analytics, or automation programs. • Demonstrated experience working directly with senior executives. • Proven record delivering strategic initiatives with measurable business impact. • Experience managing complex stakeholder environments. Technical Capability • Strong understanding of LLMs, RAG, copilots, AI agents, analytics, and automation. • Familiarity with Azure, AWS, GCP, NVIDIA ecosystem, and modern AI platforms. • Knowledge of enterprise architecture, integrations, APIs, data platforms, and security. • Strong understanding of LLMs, RAG, copilots, AI agents, analytics, and automation. • Familiarity with Azure, AWS, GCP, NVIDIA ecosystem, and modern AI platforms. • Knowledge of enterprise architecture, integrations, APIs, data platforms, and security. • Executive presence and strong communication skills. • Commercial mindset with delivery discipline. • Able to operate independently and at pace. • Comfortable working across strategy and execution