• Lead end-to-end AI strategy engagements, including engagement planning, client management, delivery execution, and executive readouts. • Lead AI and GenAI strategy workshops with business and technology stakeholders to identify, structure, and prioritize high-value use cases, with minimal oversight. • Assess client current-state data, analytics, and AI maturity across people, process, technology, and governance; synthesize findings into clear strategic implications and recommendations. • Define future-state AI capabilities, operating models, and governance frameworks that enable scalable, responsible, and value-driven AI adoption. • Act as the AI solution architect within strategy engagements by designing conceptual and logical AI architectures, identifying appropriate AI patterns, and guiding platform and tooling decisions. • Translate strategic intent into execution-ready artifacts, including AI roadmaps, use-case backlogs, reference architectures, and delivery sequencing plans. • Partner closely across practice teams to ensure alignment between strategy, solution design, and downstream implementation. • Evaluate technical options and tradeoffs and make informed recommendations grounded in business objectives. • Develop business cases and value frameworks that quantify the expected impact of AI initiatives and support investment decisions. • Lead executive-level communications, including steering committee updates, decision briefings, and final strategy readouts.