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The Head of AI Products is responsible for the setup and lifecycle management of scalable AI solutions. This role drives the strategic transformation shift from "project-based" delivery to "product-based" services. The incumbent will identify market opportunities (B2B, B2T, Internal), orchestrate cross-functional teams (Platform, Agents, Models) to build configurable products, and manage the commercial success of these products in a competitive market.
Job Responsibility:
Product delivery, ownership and Lifecycle Management: Lead the ideation, roadmap, development, and sunsetting of AI products, ensuring they are configurable, scalable, and profitable
Product Portfolio Management: Rationalization of existing products and definition of strategic assets
Product value generation vs cost balance: Own the Product value chain, ensuring products generate sufficient internal recharge or external revenue to cover costs and deliver profit
Product Value Stream Delivery and Cross-Functional Orchestration: lead product value streams coordinating AI product team engineers and pulling resources from the AI Platform, Models, and Agentic AI teams
Market Alignment: Bridge the gap between Group IT and Local Markets/External Customers, moving from a "push" approach to a "customer-centric" design approach
External Sales Enablement: Collaborate with partners like Microsoft and Google, and internal sales teams to package AI products for sale to external enterprise customers
Requirements:
Degree in Computer Science, Engineering, or Business
Strong understanding of the AI development lifecycle and software productization patterns (ToGaf certification is a plus)
Experience in enterprise-level product strategy and architecture in data and AI in cloud (Cloud architect certification is a plus)
Experience managing vendor partnerships
10+ years in Technical Solutions Delivery, preferably in SaaS or AI & Data software
Proven ability to move beyond POCs to deliver industrial production-grade, scalable products that drive tangible business outcomes
Proven track record in leading end-to-end integrations across transactional (BSS), data, and AI platforms to deliver unified, end-to-end business processes
Strong financial acumen
ability to manage P&L, pricing strategies, and build business cases
Experience leading large / distributed teams to deliver AI / Data products rollouts in complex multinational Environment
Ability to present complex product concepts to non-technical C-suite executives, dealing to influence strategic decisions
Experience moving teams from "Time & Material" projects to "Product-centric" Agile delivery (SAFe/Scrum)
leveraging Microsoft/Google partnerships and third party integrators