Manager, Applied AI Strategy and Operations
Business Area: Corp. StrategySeniority Level:Mid-Senior levelJob Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.Job title: Manager, Applied AI Strategy and OperationsJob Purpose:As a Manager, Applied AI Strategy and Operations within the Chief Business Officer and GM, Applied AI’s organization, you will lead high-impact, global commercial and operational initiatives with a direct emphasis on accelerating Cloudera's Private AI growth.Our Applied AI organization is a fast-moving, dedicated group of Forward Deployed Engineers (FDEs), Industry & Applied AI Specialists, and business strategy leaders committed to establishing Cloudera as the trusted standard for Private AI in the enterprise. In this high-autonomy, high-trust role, you will act as the strategic and analytical backbone behind our field engineering motions. You will prioritize the right initiatives across our strategic accounts, establish robust governance and operating rhythms, conduct deep-dive portfolio and sales pipeline analyses, and synthesize complex technical and commercial signals into actionable recommendations for Cloudera's senior leadership.Key responsibilities:Drive Global Governance & Operating Rhythms: Establish, evolve, and manage the programmatic operating rhythm for the global Applied AI organization across AMER, EMEA, and APAC. Lead the monthly business review (MBR) process—from metric gathering and CRM ingestion through deep quantitative analysis and executive synthesis for senior leadership.Manage the AI Adoption Funnel: Partner with regional FDE and Applied AI Specialist leadership to track, analyze, and optimize customer progression through our four core execution stages: Discovery & Strategy, Solution & Value, Pilot & Prove, and Production & Scale.Account Prioritization & Use Case Frameworks: Structure analytical frameworks grounded in real customer signal—joining technical discovery sessions, reviewing triage outcomes, and working directly with field engineering teams to filter and isolate high-ROI Private AI workloads. Conduct rigorous analyses to down-select and prioritize target accounts across our Top 100 strategic enterprise lists.Define & Standardize Strategic Metrics: Collaborate with central Revenue Operations and AI GTM Sales Strategy to define, refine, and standardize key performance indicators around subscription and consumption-based Private AI adoption. Track organizational progress against critical milestones, including customer pitch meetings, on-site Use Case Workshops, Applied AI Hands-on Labs, and deployed production solutions.Ecosystem & Commercial S...