Join Walmart/VIZIO and take your career to the next level! What you'll do... Develop; Scale GenAI Strategy: Craft and implement a multiyear vision and enterprise product roadmap for GenAI with a platform-based mindset. Drive Business Transformation: Embed GenAI-powered automation into existing workflows to enhance productivity and accelerate growth. Cross-functional Leadership: Influence and guide a high-energy, matrixed organization, aligning stakeholders across product, sales, marketing, operations, and engineering. Collaborate with Top Talent: Work closely with world-class engineers to build scalable, high-impact Gen AI products that meet Vizio's business goals. Market; Competitive Analysis: Stay ahead of market trends, stakeholder needs, and the competitive landscape to ensure Vizio remains a leader in AI-driven advertising and retail solutions. Product Performance; Metrics: Establish and track key product performance indicators (KPIs) for GenAI initiatives, ensuring alignment with business objectives, and iterating quickly to drive continuous improvement. Data-Driven Decision Making: Leverage data and insights to inform product strategy, identify growth opportunities, and optimize the GenAI product lifecycle. Use A/B testing, user feedback, and analytics to refine product features and capabilities. Process Architecture, Automation & AI identify opportunities for optimization by bringing experience with tools/methods used to discover, model and measure business processes facilitate working sessions with business stakeholders to redesign processes where needed explore solutions for process improvement opportunities and provide input as it relates to application and system solution architecture help identify high-impact use cases for AI and automation across the business help gather requirements and support the design and implementation of automation strategies and AI agents ensure AI agents are integrated into workflows with strong performance monitoring collaborate with Data Analytics on opportunities for solutions including natural language processing and machine learning etc
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Job Type
Full-time
Career Level
Mid Level
Industry
General Merchandise Retailers
Number of Employees
5,001-10,000 employees