Management Consultant – Comms, Media, Technology

Overview

As a Consultant in Communications & Media, you bridge consulting and product delivery to turn client problems into tangible product outcomes. You will work with engineers, designers and data specialists to move ideas from discovery to launch, shaping roadmaps and delivery plans. You’ll help clients adopt product-led approaches while applying AI to real problems, contributing to proposals and new opportunities. This role offers exposure to high-impact telecoms and media transformation at scale.

Responsibilities

• Translate business problems into product visions, roadmaps and execution plans
• Own a defined product area or workstream through discovery, design, build, launch and improvement
• Collaborate with client and Accenture teams across product, engineering, design and data to prioritise and resolve delivery challenges
• Build business cases and success metrics, using data to prove outcomes
• Identify practical uses of AI in products, customer experiences and operations
• Lead interviews and workshops, present to clients, and align business and technology teams
• Contribute to proposals and new opportunities, participating in team lifecycle

Key requirements

• Around four years of relevant experience in consulting, Communications/Media, digital agency, product studio or technology company
• Experience designing, building, launching or transforming products, services or business capabilities
• Ability to turn strategy into priorities and requirements with trade-offs between value, cost, speed and feasibility
• Understanding of how digital products are built and run, with ability to work with engineering and technology leaders
• Experience with AI, cloud and modern data platforms; ability to build a business case that withstands senior scrutiny
• Experience in or strong understanding of telecoms, media or both; depth in a sub-area preferred

• Leading workshops and client conversations
• Clear and simple communication of complex ideas
• Ability to bring structure to ambiguous situations
• AI in products and operations
• Cloud and modern data platforms
• Product management and delivery

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