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- Tasks: Drive AI adoption and cultural transformation across the organisation.
- Company: Cognizant, a leading tech consulting firm with a global presence.
- Benefits: Competitive salary, career growth, and opportunities to innovate.
- Why this job: Be a catalyst for change in the AI-driven telco landscape.
- Qualifications: Experience in AI/ML, strong communication skills, and telecom knowledge.
- Other info: Join a dynamic team focused on transforming the future of telecommunications.
The predicted salary is between 36000 - 60000 £ per year.
The Company Cognizant (NASDAQ:CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant has over 350,000 employees as of January 2024.
Cognizant Consulting At Cognizant, our consultants orchestrate the capabilities to truly change the game across strategy, design, technology and industry/functional knowledge to deliver insight at speed and solutions at scale. Our consulting services elevate the unique abilities and business aspirations of customers and employees and build relationships based on trust and value.
Role Overview We are looking for an inspiring AI + Data Evangelist to drive awareness, adoption, and cultural transformation around AI, Generative AI, Agentic AI, and data-driven decisioning across the organisation. The role acts as a bridge between business teams, technology teams, and senior leadership to articulate AI value, identify transformation opportunities, shape AI-enabled use cases, and promote best practices across BSS, OSS, Network, CX, and Operations. The ideal candidate is a storyteller, strategist, and hands-on innovator who can simplify complex AI concepts, influence cross-functional teams, and guide the enterprise toward becoming an AI-first telco.
Key Responsibilities
- AI Evangelism & Thought Leadership
- Champion the vision for AI, GenAI, and Agentic AI adoption across business units and technology domains.
- Deliver inspirational talks, demos, PoVs, and workshops to accelerate organisational AI literacy.
- Shape the narrative of how AI will transform BSS, OSS, network operations, customer experience, field operations, and enterprise processes.
- Act as an internal influencer to build a culture of experimentation and data-driven innovation.
- Opportunity Identification & Use Case Design
- Work with stakeholders to identify high-impact AI/GenAI opportunities aligned with business priorities.
- Create use case backlogs, business value assessments, and prioritisation frameworks.
- Design AI use cases across domains such as:
- Customer service (NLP, chatbots, agent assist)
- BSS (automated journeys, intelligent CRM, catalogue automation)
- OSS/Network (predictive assurance, autonomous ops, network slicing intelligence)
- Enterprise functions (HR, Finance, supply chain insights)
- Collaborate with product managers and enterprise architects to shape MVPs and pilot roadmaps.
- Advocate for strong data governance, data quality, cataloguing, and democratization.
- Promote the use of modern data platforms, streaming analytics, vector search, and LLM-ready architectures.
- Translate analytics and AI potential into business value narratives for leadership teams.
- Support data literacy programs across non-technical teams.
- Lead PoCs, showcase emerging AI frameworks, and conduct hands-on demos.
- Stay updated on telco AI innovations — digital twins, autonomous networks, intelligent assurance, RAG, multi-agent systems.
- Partner with engineering teams, cloud teams, and vendors to assess tools and capabilities for scaling.
- Act as a trusted advisor to senior leadership on AI strategy and industry trends.
- Work closely with BUs, architecture, and product teams to align AI initiatives with enterprise roadmaps.
- Present complex AI concepts in simplified, business-friendly language.
- Prepare executive thought leadership papers, showcases, roadmaps, and storytelling collateral.
Skills & Experience Requirements
- Technical Competencies
- Strong understanding of telecom ecosystems (BSS/OSS/Network/CX/Operations).
- Solid hands-on experience or strong working knowledge of:
- AI/ML pipelines, MLOps/LLMOps
- Generative AI (LLMs, RAG, embeddings, prompt engineering)
- Agentic AI frameworks and multi-agent orchestration
- Data platforms, big data tools, streaming analytics
- APIs, cloud services (AWS/Azure/GCP)
- Ability to conceptualize and communicate architecture patterns (AI-driven ops, vector databases, knowledge graphs, digital twins).
- Excellent storytelling, communication, and presentation skills.
- Ability to influence executive stakeholders and create buy-in.
- Strong business acumen around digital transformation, cost optimisation, and productisation of AI.
- Experience in leading workshops, hackathons, or innovation labs.
- Ability to mentor teams and drive organisational data literacy.
- Certifications in AI/ML, GenAI, Cloud, or Data Engineering.
- Experience working with major telecom operators or technology vendors.
- Knowledge of TM Forum frameworks (Open APIs, eTOM, ODA).
Why This Role Matters
This role is central to accelerating the organisation’s journey toward becoming a data-powered, AI-native, autonomous telco. As the AI & Data Evangelist, you will be the storyteller, catalyst, and culture-builder who connects strategy to execution and transforms how teams work, make decisions, and innovate.
AI SME, Telco Consulting (Associate Director) in London employer: Cognizant
Contact Detail:
Cognizant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI SME, Telco Consulting (Associate Director) in London
✨Tip Number 1
Network like a pro! Attend industry events, webinars, and meetups related to AI and telco consulting. It's all about making connections and getting your name out there. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects, especially those related to AI and data. This is your chance to demonstrate your expertise and passion in a way that a CV just can't capture.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI and telco. Think about how you can articulate your experience in a way that aligns with the company's goals. Remember, storytelling is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Cognizant. Let's make it happen!
We think you need these skills to ace AI SME, Telco Consulting (Associate Director) in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and data shine through! We want to see how you can inspire others and drive cultural transformation in the telco space. Share your experiences and ideas that demonstrate your commitment to becoming an AI evangelist.
Tailor Your Application: Make sure to customise your application to reflect the specific requirements of the role. Highlight your relevant skills and experiences that align with AI, Generative AI, and the telecom industry. We love seeing candidates who take the time to connect their background with what we’re looking for!
Keep It Clear and Engaging: Your application should be easy to read and engaging. Use clear language and avoid jargon where possible. Remember, we’re looking for someone who can simplify complex concepts, so show us you can do that right from the start!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Cognizant
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially in the telco space. Be ready to discuss how AI can transform BSS, OSS, and customer experience. Show them you’re not just familiar with the concepts but can also articulate their business value.
✨Tell a Compelling Story
As an AI Evangelist, storytelling is key. Prepare examples of how you've successfully communicated complex AI ideas in a simple way. Think about times when you influenced stakeholders or led workshops—these stories will showcase your ability to connect with different teams.
✨Showcase Your Hands-On Experience
Highlight any hands-on projects you've worked on, especially those involving AI/ML pipelines or Generative AI. Be specific about your role and the impact of your work. This will demonstrate your technical competency and practical understanding of the field.
✨Engage with Questions
Prepare insightful questions that show your interest in the company’s AI strategy and how it aligns with their business goals. This not only shows your enthusiasm but also helps you gauge if the company culture and vision align with your own.
