• Define and own the enterprise AI strategy and multi-year roadmap aligned to company objectives. • Identify high-impact AI opportunities that drive revenue, differentiation, and customer outcomes. • Partner with Product and Commercial leadership to embed AI into core product strategy. • Lead build vs. buy decisions, model selection, vendor strategy, and platform choices. • Establish success metrics and ROI models for AI investments. • Act as the executive AI spokesperson externally with customers, partners, and analysts. • Lead strategic roadmap discussions with enterprise clients and prospects. • Support Sales and Customer Success in pre-sales, executive briefings, and solution positioning. • Represent the company at industry events, advisory boards, and customer forums. • Incorporate market and competitive intelligence into product strategy. • Serve as the senior bridge between Product and Engineering for AI initiatives. • Provide hands-on leadership by: • Reviewing architectures and solution designs • Validating model choices and data strategies • Guiding MLOps and deployment patterns • Sponsor and oversee POCs and pilots, ensuring rapid path to production. • Define AI governance standards covering security, bias, hallucination risk, privacy, and compliance. • Ensure AI capabilities align with pricing models and unit economics. • Build strategic partnerships with cloud providers, AI vendors, and research institutions. • Evaluate emerging technologies for commercial viability and competitive advantage. • Champion a culture of innovation across Product and Engineering organizations. • Establish internal innovation programs and capability-building initiatives.