AI Offering Manager, DWS

Key Responsibilities & Deliverables AI Offering Strategy & Product Management Define product vision, roadmap, and commercial strategy for AI-enabled workplace software and managed service offerings. Identify customer problems, market opportunities, and AI use cases across Digital Workplace Services. Prioritize features, capabilities, and releases based on customer value, business impact, and technical feasibility. Own end-to-end offering lifecycle including ideation, business case, launch, enhancement, and retirement. AI Software & Platform Development Develop offerings leveraging GenAI, AI agents, automation, copilots, intelligent workflows, and analytics platforms. Work closely with engineering, architecture, and AI teams to translate capabilities into customer-ready products. Define functional

, user stories, pricing models, packaging, and service scope. Drive integration with enterprise platforms including ServiceNow, Microsoft, Google, Lenovo platforms, and strategic ISV partners. Cross-functional Leadership Lead collaboration across Product, Delivery, Sales, Marketing, Legal, Security, Finance, and Regional teams. Coordinate offering readiness including enablement assets, operational processes, commercial approvals, and documentation. Ensure delivery teams have scalable implementation blueprints and service definitions. Go-to-Market & Commercialization Create product positioning, value propositions, pricing, and packaging for global markets. Partner with marketing and sales enablement teams to develop launch materials, battlecards, demos, and customer messaging. Support strategic customer engagements, analyst briefings, and executive presentations. Market Intelligence & Portfolio Growth Track AI technology trends, competitor offerings, analyst research, and customer feedback. Build differentiated offerings through Lenovo IP, partnerships, and ecosystem integrations. Measure offering success through adoption, pipeline, revenue, customer satisfaction, and lifecycle KPIs. Required Skills, Experience & Qualifications Experience 8–12 years of experience in Product Management, AI Products, Enterprise Software, Digital Workplace, SaaS, or Managed Services. Experience launching enterprise software or AI-enabled products/services from concept to market. Experience working with cross-functional global teams and multiple stakeholders. Technical Expertise Strong understanding of Generative AI, AI agents, LLMs, copilots, automation platforms, and intelligent workflows. Familiarity with enterprise AI ecosystems such as Microsoft Copilot, Azure AI, Google Gemini, ServiceNow AI, Salesforce AI, AWS AI, or similar platforms. Understanding of APIs, integrations, cloud services, data platforms, and enterprise architecture concepts. Knowledge of ITSM, Digital Employee Experience (DEX), Endpoint/UEM, Workplace Automation, or Service Desk is an advantage. Product Management Skills Product roadmap creation and prioritization. Customer journey mapping and requirements gathering. Business case development and pricing strategy. Agile product development and release management. Portfolio lifecycle management and KPI ownership. Leadership & Collaboration Excellent stakeholder management across business and technical teams. Strong executive communication and presentation skills. Ability to influence without direct authority in a global matrix organization. Preferred Qualifications MBA or Master's degree in Business, Technology, Computer Science, or Engineering. AI or Product Management certifications are a plus. Experience working with global technology partners (Microsoft, ServiceNow, Google, AWS, Salesforce, NVIDIA, etc.) is highly desirable. Business Impact of the Role This role will help Lenovo DWS accelerate its AI-first portfolio by: ~AI Portfolio Growth: Build differentiated AI-native workplace offerings and intelligent managed services. ~Revenue Acceleration: Create scalable offerings that drive global pipeline, attach rates, and recurring services revenue. ~Innovation Leadership: Bring emerging AI capabilities into Lenovo's commercial portfolio through Lenovo IP and strategic partnerships. ~Sales Enablement: Develop repeatable productized offerings, demos, pricing, and GTM assets for global sellers. ~Customer Outcomes: Improve digital employee experience through AI agents, automation, analytics, and intelligent workflows.