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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 work with cutting-edge technology.
- Why this job: Be a catalyst for change in the AI landscape of telecommunications.
- Qualifications: Strong understanding of telecom ecosystems and hands-on AI/ML experience.
- Other info: Join a dynamic team focused on innovation and data-driven decision-making.
The predicted salary is between 72000 - 108000 £ 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 organization. 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 organizational 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.
- Work with stakeholders to identify high-impact AI/GenAI opportunities aligned with business priorities.
- Create use case backlogs, business value assessments, and prioritization 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)
- 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.
- 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)
- Excellent storytelling, communication, and presentation skills.
- Ability to influence executive stakeholders and create buy-in.
- Strong business acumen around digital transformation, cost optimization, and productization of AI.
- Experience in leading workshops, hackathons, or innovation labs.
- Ability to mentor teams and drive organizational 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 organization’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.
Principal Consultant - AI & Telco Consulting (Associate Director) in London employer: Cognizant
Contact Detail:
Cognizant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Consultant - AI & Telco Consulting (Associate Director) in London
✨Tip Number 1
Network like a pro! Attend industry events, webinars, and meetups related to AI and telecom. 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 gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI and consulting roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your achievements effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Principal Consultant - AI & Telco Consulting (Associate Director) in London
Some tips for your application 🫡
Be Authentic: When you're writing your application, let your personality shine through! We want to see the real you, so don’t be afraid to share your passion for AI and telco. Make it personal and relatable.
Tailor Your Application: Make sure to customise your application for the role. Highlight your experience with AI, data strategies, and telecom ecosystems. Show us how your skills align with what we’re looking for!
Showcase Your Storytelling Skills: Since this role is all about communication, use your application to demonstrate your storytelling abilities. Break down complex ideas into simple terms and show us how you can engage an audience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the info you need about the role there!
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 customer service, network operations, and enterprise functions. Show them you’re not just familiar with the concepts but can also articulate their business value.
✨Tell a Compelling Story
As a Principal Consultant, storytelling is key. Prepare examples of how you've successfully influenced teams or led AI initiatives in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses and make your experiences relatable and impactful.
✨Engage with Stakeholders
Demonstrate your ability to connect with various stakeholders. Think about how you can bridge the gap between technical teams and business units. Prepare to discuss how you’ve previously aligned AI initiatives with business priorities and how you can do the same for them.
✨Show Your Hands-On Experience
Be ready to dive into your technical competencies. Discuss your experience with AI/ML pipelines, data platforms, and any relevant tools. They’ll want to know you can not only strategise but also get your hands dirty when needed, so share specific projects where you’ve done just that.
