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- Tasks: Drive AI adoption and cultural transformation in a leading tech consulting firm.
- Company: Cognizant, a top global provider of IT and consulting services.
- Benefits: Inclusive workplace, career growth, and opportunities to innovate with AI.
- Why this job: Be a catalyst for change and shape the future of telecom with AI.
- Qualifications: Experience in AI/ML, strong communication skills, and a passion for innovation.
- Other info: Join a supportive community dedicated to making a positive impact.
The predicted salary is between 28800 - 48000 ÂŁ 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.
The Cognizant community
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive. Cognizant is a global community with more than 300,000 associates around the world. We don't just dream of a better way - we make it happen. We take care of our people, clients, company, communities and climate by doing what's right. We foster an innovative environment where you can build the career path that's right for you.
About us
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry‑based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ‑100 and one of Forbes World's Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
AI SME, Telco Consulting (Associate Director) in City of London employer: Cognizant Technology Solutions
Contact Detail:
Cognizant Technology Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI SME, Telco Consulting (Associate Director) in City of London
✨Tip Number 1
Network like a pro! Attend industry events, webinars, and meetups to connect with folks in the telco and AI space. 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 and achievements in AI and data. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and telco consulting. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our awesome team at Cognizant.
We think you need these skills to ace AI SME, Telco Consulting (Associate Director) in City of London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its potential in the telco industry shine through. We want to see how you can inspire others and drive cultural transformation around AI.
Tailor Your Experience: Make sure to highlight your relevant experience in AI, data strategy, and telecom ecosystems. We’re looking for candidates who can bridge the gap between business and technology, so be specific about your achievements in these areas.
Keep It Clear and Engaging: Use simple language to explain complex AI concepts in your application. We appreciate a good storyteller, so make your narrative engaging and easy to follow, showing us how you can communicate effectively with diverse teams.
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 ensure you’re considered for this exciting role. We can’t wait to hear from you!
How to prepare for a job interview at Cognizant Technology Solutions
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially in the telco space. Understand concepts like Generative AI and Agentic AI, and be ready to discuss how they can transform business operations. This will show that you're not just familiar with the tech but also passionate about its potential.
✨Craft Your Story
As an AI Evangelist, storytelling is key. Prepare a few compelling narratives about how AI has positively impacted businesses, particularly in telecom. Use real-world examples to illustrate your points and make complex ideas relatable. This will help you connect with your interviewers and demonstrate your communication skills.
✨Engage with Stakeholders
Think about how you would engage with different stakeholders in the role. Be prepared to discuss strategies for influencing executive buy-in for AI initiatives. Show that you can bridge the gap between technical teams and business units, making you a valuable asset to the company.
✨Showcase Your Innovation Mindset
Highlight any experience you have with leading workshops or innovation labs. Discuss how you've fostered a culture of experimentation in previous roles. This will demonstrate your ability to drive organisational change and your commitment to continuous learning and improvement in AI practices.
