Consultant or Senior Consultant – Telco, Media and Technology

Overview

In this role you drive strategic change for Telco, Media & Technology clients, shaping AI-enabled use cases, transformation programmes and digital product monetisation. You will work with cross-functional teams to deliver end-to-end change, leveraging data and analytics to inform recommendations and outcomes. The role offers exposure to diverse TMT clients, from platforms and content to digital infrastructure, within a collaborative, people-first culture at Baringa. You will help clients scale transformation and navigate business model evolution in a fast-evolving tech landscape.

Pay / Benefits

• Generous annual leave (5 weeks)
• 5-Year Recharge with additional 2 weeks after 5 years
• Hybrid/flexible working
• CSR days (3 days per year)
• Wellbeing fund to support personal wellbeing
• Profit Share Scheme

Responsibilities

• Identify and shape AI/automation value opportunities and practical use cases with early adoption plans
• Design and deliver business and transformation programmes leveraging digital tools, analytics and automation
• Support monetisation of digital products/platforms using data and insights for growth decisions
• Improve end-to-end customer/partner/user experiences through digital and data-enabled change
• Design future operating models aligning people, processes and technology including automation
• Advise on business model evolution (e.g., telco to techco, content to platform, product to ecosystem)
• Advise on M&A, integration and carve-outs to unlock value via insight, execution discipline and change delivery
• Collaborate across adjacent TMT areas such as media, platforms, data centres, hyperscalers and digital infrastructure

Key requirements

• Experience across parts of the Telecommunications, Media and Technology ecosystem
• Strong consulting fundamentals with curiosity about how digital, data, automation and AI shape organisations
• Ability to deliver end-to-end change, not just analysis
• Comfort working with digital tools, data and AI without being a technical specialist
• Strong data literacy and ability to translate insights into clear recommendations
• Clear communication skills, especially for explaining digital/AI concepts to non-technical stakeholders
• Outcome-focused with emphasis on execution and impact
• Excellent academic achievements preferred but not strictly required

• collaboration
• curiosity about technology
• effective communication
• AI and automation
• data analytics and insight interpretation
• digital tools and platforms

…