Posted 1mo ago

Head of Research & Innovation CoE

@ Infovista
Europe or United States or United Arab Emirates or North America
RemoteFull Time
Responsibilities:Lead team, Develop processes, Drive innovation
Requirements Summary:10+ years in innovation leadership, R&D, product strategy or architecture; deep AI/ML expertise; strong leadership and cross-functional collaboration.
Technical Tools Mentioned:AI/ML, prototyping tools, cloud-native, API-first
Save
Mark Applied
Hide Job
Report & Hide
Job Description

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

LOCATION:

  • Global Remote Offices