Telco AI Evangelist & Data Transformation Lead

Cognizant Technology Solutions; City Of London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading global professional services company is seeking an AI Evangelist to promote AI adoption and transformation across the organization. Responsibilities include driving awareness, identifying AI opportunities, and shaping use cases in the telecom sector. Candidates should have strong technical competencies in telecom ecosystems and AI, excellent communication skills, and a track record in digital transformation. This role is crucial for fostering a culture of data-driven innovation and ensuring successful AI initiatives.

Benefits

Collaborative and inclusive workplace

Career development opportunities

Supportive community

Qualifications

• Proven ability to shape AI-enabled use cases and promote best practices.
• Experience in leading workshops or innovation labs.
• Strong business acumen around digital transformation.

Responsibilities

• Champion the vision for AI and drive cultural transformation.
• Identify high-impact AI opportunities aligned with business priorities.
• Act as a trusted advisor to senior leadership on AI strategy.

Skills

Strong understanding of telecom ecosystems (BSS/OSS/Network/CX/Operations)

Excellent storytelling, communication, and presentation skills

Ability to influence executive stakeholders

Solid hands-on experience with AI/ML pipelines

Data platforms and streaming analytics

Education

Certifications in AI/ML, GenAI, Cloud, or Data Engineering

Tools

Cloud services (AWS/Azure/GCP)

APIs

Job description

A leading global professional services company is seeking an AI Evangelist to promote AI adoption and transformation across the organization. Responsibilities include driving awareness, identifying AI opportunities, and shaping use cases in the telecom sector. Candidates should have strong technical competencies in telecom ecosystems and AI, excellent communication skills, and a track record in digital transformation. This role is crucial for fostering a culture of data-driven innovation and ensuring successful AI initiatives.