Head of Research & Innovation CoE
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About the Role
The Role The Head of Research & Innovation CoE is a senior technology and innovation leader reporting to the Chief Product Officer (CPO).
Key Skills for This Role
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The Role
- The Head of Research & Innovation CoE is a senior technology and innovation leader reporting to the Chief Product Officer (CPO).
- This role is responsible for building and leading the company’s Research & Innovation Center of Excellence, driving ideation, emerging technology evaluation, experimentation, and the development of an enterprise-wide Agentic AI framework.
- The CoE acts as the organization’s innovation engine, identifying and validating new technology opportunities that advance the company’s transition toward an AI-driven intelligence platform combining Network Intelligence and Customer Experience (CX) Intelligence.
- While innovation, research, and ideation are the primary focus, this role also contributes to the long-term product and platform architecture direction, contributing to the development of a unified reference architecture, and helping steer the transformation toward an integrated, intelligent, and AI-driven platform.
- The role ensures that research insights, innovation initiatives, and architectural strategies are tightly aligned with customer needs, market evolution, and the company’s long-term growth objectives.
- Research & Innovation Center Of Excellence (CoE) Leadership
- Build, lead, and scale the Research & Innovation CoE, acting as an internal innovation engine and CTO office extension for strategic future technology exploration.
- Lead a team of AI/ML professionals in developing new products and releases.
- Develop structured research and innovation processes for ideation, concepting, rapid prototyping, feasibility studies, and emerging technology evaluations.
- Oversee a dedicated ideation team responsible for concept exploration, early-stage experiments, technology proofs of value, and innovation pilots, stage experiments, and innovation pilots.
- Drive innovation frameworks and methodologies (innovation pipelines, lean experimentation, rapid prototyping cycles) to accelerate concept-to-product transitions.
- Champion and shape the Agentic AI strategy, ensuring alignment between innovation research, AI capabilities, and product implementation.
- Identify and validate new opportunities for AI-driven, platform-driven, or architectural innovations that differentiate the portfolio and unlock new customer value.
Reference Product Architecture
- Define and evolution of the reference architecture, ensuring it reflects emerging research insights and AI-driven capabilities.
- Lead the architectural transition from siloed tools to an integrated, AI-first Intelligent Insight Platform with shared components and unified data models.
- Collaborate with Engineering and Architecture leadership to create modernization pathways (cloud-native, microservices, common data layers, API-first).
- Lead the Architecture Review Board (ARB) to support major architectural and platform direction decisions.
Qualifications
- 10+ years in innovation leadership, R&D, product strategy, product architecture, or platform technology leadership.
- Demonstrated Expertise and contributions in the following areas (GSMA, ITU, TM Forum, CAMARA).
- Research in areas of 6G, Customer centric QoE, NTN or other emerging technologies are a plus.
- Experience in launching & developing a patent program is a plus
- Experience in public funding initiatives related to emerging technologies is a plus
- Demonstrated experience running Innovation Labs, R&D organizations, Centers of Excellence, or enterprise innovation programs.
- Experience contributing to or defining reference architectures for multi-product or platform environments.
- Deep understanding of AI/ML technologies, with practical exposure to implementing Agentic AI, conversational AI, automation systems, or intelligent platforms.
- Strong understanding of network analytics, service assurance, and customer experience intelligence domains, particularly in telecom and enterprise digital services environments.
- Ability to translate research insights into practical product innovation and measurable customer value.
Languages
- English – essential
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